- published: 08 Nov 2023
- views: 177
-
remove the playlistOne Size Fits All (disambiguation)
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remove the playlistOne Size Fits All (frank Zappa Album)
- remove the playlistOne Size Fits All (disambiguation)
- remove the playlistOne Size Fits All (frank Zappa Album)
One size fits all
"One size fits all" is a description for a product that would fit in all instances. The term has been extended to mean one style or procedure would fit in all related applications. It has been in use for over 5 decades. There are both positive and negative uses of the phrase.
History of the phrase
The term "one size fits all" has been used as a common, cliche phrase for over 5 decades. It was already a popular term, in 1975, when Frank Zappa recorded the album One Size Fits All.
Positive views of the phrase
There are several positive views of the phrase "one size fits for all":
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/One_size_fits_all
One Size Fits All (disambiguation)
One size fits all is a marketing term indicating the utility of an article.
One Size Fits All may also refer to:
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/One_Size_Fits_All_(disambiguation)
One Size Fits All (Frank Zappa album)
One Size Fits All is a 1975 rock album by Frank Zappa and the Mothers of Invention. A special four-channel quadraphonic version was prepared and advertised, but not released. It is the tenth and last studio album of the band. This is Official Release #20.
Mothers
The album features the final version of the Mothers of Invention, with George Duke, Chester Thompson, Ruth Underwood, Tom Fowler and Napoleon Murphy Brock. Zappa continued to tour and record, often with members of previous "Mothers of Invention" lineups.
Album content
The album features one of Zappa's most complex tracks, "Inca Roads". One of Zappa's heroes, Johnny "Guitar" Watson, guests on two tracks (flambe vocals on the out-choruses of "San Ber'dino" and "Andy").
Releases
Early U.S. LP pressings of One Size Fits All are notable in that they have the catalog number "BS 2879" inscribed - and crossed out - in the runoff matrix, indicating that at one point One Size Fits All was (perhaps mistakenly) planned to be released on Warner Bros. Records, whose Reprise Records subsidiary distributed Zappa's DiscReet Records label. The album was ultimately released on DiscReet with a catalog number in Reprise's sequence, DS 2216. Warner Bros. did not reassign the number BS 2879 to another album.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/One_Size_Fits_All_(Frank_Zappa_album)
Podcasts:
-
QA is not one size fits all: Getting different answers to the same question from an AI [Lecture]
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check out the whole course: https://umiacs.umd.edu/~jbg/teaching/CMSC_848/ (Including homeworks and reading.) Ambiguous Question and Natural Questions Five Years Later: https://www.youtube.com/watch?v=ZUN0GkaekHw Vector Retrieval Review: https://www.youtube.com/watch?v=A5ounv0D_cs SituatedQA: https://github.com/mikejqzhang/SituatedQA Music: https://soundcloud.com/alvin-grissom-ii/review-and-rest
published: 08 Nov 2023 -
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023) Khushboo Chitre, Piyus Kedia, and Rahul Purandare (IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA) Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, ...
published: 14 Feb 2024 -
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
September 18, 2020 Abstract Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, s...
published: 12 Jan 2023 -
King Of The Hill But Its a Midwest Emo Intro
published: 03 Apr 2023 -
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph. Speakers: Federica Ventruto, Alessia Melania Lonoce Format: Full Session 30-45 min Level: Advanced Topics: #KnowledgeGraph, #MachineLearning...
published: 30 Nov 2022 -
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision. https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference -------------------------------Products used/recommended in this video--------------------------------------------------- (these are affiliate links that help fund videos lik...
published: 19 Jan 2022 -
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores. Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
published: 07 Jan 2021 -
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
published: 30 Mar 2021 -
Hidden Topic Markov Models
Google Tech Talks August 8, 2007 ABSTRACT Algorithms such as Latent Dirichlet Allocation (LDA) have achieved significant progress in modeling word document relationships. These algorithms assume each word in the document was generated by a hidden topic and explicitly model the word distribution of each topic as well as the prior distribution over topics in the document. Given these parameters, the topics of all words in the same document are assumed to be independent. In this work, we propose modeling the topics of words in the document as a Markov chain. Specifically, we assume that all words in the same sentence have the same topic, and successive sentences are more likely to have the same...
published: 09 Oct 2007 -
Watching The Mask But Without VFX
Get some cool drag & drop VFX here! ► https://www.famefocus.com/go/getvfx/ ◄ The Mask is a classic movie that surprisingly still holds up incredibly well even by today's standards, and even though the movie was a great success, it has never really received all the credit it is due. Maybe this is because it was released in 1994, alongside films like Shawshank Redemption, Pulp Fiction, Forrest Gump, or True Lies, or perhaps it is because of its light-hearted comedic screenplay, but The Mask just wasn't taken seriously even though it pushed the limits of what was possible with VFX and became the first film to have a photo-real 3-D cartoon character using computer animation. Like the music in this video? I made it! Support me by getting it on any of these sites :P Get it on iTunes: ► https://...
published: 27 Aug 2022
developed with YouTube
12:55
QA is not one size fits all: Getting different answers to the same question from an AI [Lecture]
- Order: Reorder
- Duration: 12:55
- Uploaded Date: 08 Nov 2023
- views: 177
This is a single lecture from a course. If you you like the material
and want more context (e.g., the lectures that came before), check out
the whole course:
h...
This is a single lecture from a course. If you you like the material
and want more context (e.g., the lectures that came before), check out
the whole course:
https://umiacs.umd.edu/~jbg/teaching/CMSC_848/
(Including homeworks and reading.)
Ambiguous Question and Natural Questions Five Years Later:
https://www.youtube.com/watch?v=ZUN0GkaekHw
Vector Retrieval Review:
https://www.youtube.com/watch?v=A5ounv0D_cs
SituatedQA:
https://github.com/mikejqzhang/SituatedQA
Music: https://soundcloud.com/alvin-grissom-ii/review-and-rest
https://wn.com/Qa_Is_Not_One_Size_Fits_All_Getting_Different_Answers_To_The_Same_Question_From_An_Ai_Lecture
This is a single lecture from a course. If you you like the material
and want more context (e.g., the lectures that came before), check out
the whole course:
https://umiacs.umd.edu/~jbg/teaching/CMSC_848/
(Including homeworks and reading.)
Ambiguous Question and Natural Questions Five Years Later:
https://www.youtube.com/watch?v=ZUN0GkaekHw
Vector Retrieval Review:
https://www.youtube.com/watch?v=A5ounv0D_cs
SituatedQA:
https://github.com/mikejqzhang/SituatedQA
Music: https://soundcloud.com/alvin-grissom-ii/review-and-rest
18:14
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
- Order: Reorder
- Duration: 18:14
- Uploaded Date: 14 Feb 2024
- views: 27
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; Univer...
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA)
Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, these approaches work only for the loops in which the loop bounds are loop invariants. To address this limitation, researchers proposed a technique that requires 𝑂 (𝑙𝑜𝑔 𝑛) memory accesses for pointer disambiguation. Others improved the performance of dynamic checks to single memory access by constraining the object size and alignment. However, the former approach incurs noticeable overhead due to its dynamic checks, whereas the latter has a noticeable allocator overhead. Thus, scalability remains a challenge.
In this work, we present a tool, Rapid, that further reduces the overheads of the allocator and dynamic checks proposed in the existing approaches. The key idea is to identify objects that need disambiguation checks using a profiler and allocate them in different regions, which are disjoint memory areas. The disambiguation checks simply compare the regions corresponding to the objects. The regions are aligned such that the top 32 bits in the addresses of any two objects allocated in different regions are always different. As a consequence, the dynamic checks do not require any memory access to ensure that the objects belong to different regions, making them efficient.
Rapid achieved a maximum performance benefit of around 52.94% for Polybench and 1.88% for CPU SPEC 2017 benchmarks. The maximum CPU overhead of our allocator is 0.57% with a geometric mean of -0.2% for CPU SPEC 2017 benchmarks. Due to the low overhead of the allocator and dynamic checks, Rapid could improve the performance of 12 out of 16 CPU SPEC 2017 benchmarks. In contrast, a state-of-the-art approach used in the comparison could improve only five CPU SPEC 2017 benchmarks.
Article: https://doi.org/10.1145/3622859
Supplementary archive: https://doi.org/10.5281/zenodo.8321488 (Badges: Artifacts Available, Artifacts Evaluated — Reusable)
ORCID: https://orcid.org/0000-0001-6950-1055, https://orcid.org/0000-0002-9569-4089, https://orcid.org/0000-0001-8677-0601
Video Tags: alias analysis, LLVM, optimizations, regions, dynamic checks, memory allocation, allocation site, oopslab23main-p475-p, doi:10.1145/3622859, doi:10.5281/zenodo.8321488, orcid:0000-0001-6950-1055, orcid:0000-0002-9569-4089, orcid:0000-0001-8677-0601, Artifacts Available, Artifacts Evaluated — Reusable
Presentation at the OOPSLA2 2023 conference, October 22–27, 2023, https://2023.splashcon.org/track/splash-2023-oopsla
Sponsored by ACM SIGPLAN,
https://wn.com/Oopsla23_Rapid_Region_Based_Pointer_Disambiguation
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA)
Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, these approaches work only for the loops in which the loop bounds are loop invariants. To address this limitation, researchers proposed a technique that requires 𝑂 (𝑙𝑜𝑔 𝑛) memory accesses for pointer disambiguation. Others improved the performance of dynamic checks to single memory access by constraining the object size and alignment. However, the former approach incurs noticeable overhead due to its dynamic checks, whereas the latter has a noticeable allocator overhead. Thus, scalability remains a challenge.
In this work, we present a tool, Rapid, that further reduces the overheads of the allocator and dynamic checks proposed in the existing approaches. The key idea is to identify objects that need disambiguation checks using a profiler and allocate them in different regions, which are disjoint memory areas. The disambiguation checks simply compare the regions corresponding to the objects. The regions are aligned such that the top 32 bits in the addresses of any two objects allocated in different regions are always different. As a consequence, the dynamic checks do not require any memory access to ensure that the objects belong to different regions, making them efficient.
Rapid achieved a maximum performance benefit of around 52.94% for Polybench and 1.88% for CPU SPEC 2017 benchmarks. The maximum CPU overhead of our allocator is 0.57% with a geometric mean of -0.2% for CPU SPEC 2017 benchmarks. Due to the low overhead of the allocator and dynamic checks, Rapid could improve the performance of 12 out of 16 CPU SPEC 2017 benchmarks. In contrast, a state-of-the-art approach used in the comparison could improve only five CPU SPEC 2017 benchmarks.
Article: https://doi.org/10.1145/3622859
Supplementary archive: https://doi.org/10.5281/zenodo.8321488 (Badges: Artifacts Available, Artifacts Evaluated — Reusable)
ORCID: https://orcid.org/0000-0001-6950-1055, https://orcid.org/0000-0002-9569-4089, https://orcid.org/0000-0001-8677-0601
Video Tags: alias analysis, LLVM, optimizations, regions, dynamic checks, memory allocation, allocation site, oopslab23main-p475-p, doi:10.1145/3622859, doi:10.5281/zenodo.8321488, orcid:0000-0001-6950-1055, orcid:0000-0002-9569-4089, orcid:0000-0001-8677-0601, Artifacts Available, Artifacts Evaluated — Reusable
Presentation at the OOPSLA2 2023 conference, October 22–27, 2023, https://2023.splashcon.org/track/splash-2023-oopsla
Sponsored by ACM SIGPLAN,
- published: 14 Feb 2024
- views: 27
56:30
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
- Order: Reorder
- Duration: 56:30
- Uploaded Date: 12 Jan 2023
- views: 139
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguat...
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
https://wn.com/Bootleg_Guidable_Self_Supervision_For_Named_Entity_Disambiguation_Chris_Re_(Stanford_University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
- published: 12 Jan 2023
- views: 139
1:01
King Of The Hill But Its a Midwest Emo Intro
- Order: Reorder
- Duration: 1:01
- Uploaded Date: 03 Apr 2023
- views: 460010
- published: 03 Apr 2023
- views: 460010
35:11
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
- Order: Reorder
- Duration: 35:11
- Uploaded Date: 30 Nov 2022
- views: 521
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities ...
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
https://wn.com/093_Keyword_Disambiguation_Using_Transformers_And_Clustering_To_Build_Cleaner_Knowledge_Nodes2022
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
- published: 30 Nov 2022
- views: 521
4:50
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
- Order: Reorder
- Duration: 4:50
- Uploaded Date: 19 Jan 2022
- views: 146360
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around sin...
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision.
https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference
-------------------------------Products used/recommended in this video---------------------------------------------------
(these are affiliate links that help fund videos like this, at no extra cost to you)
►DeLonghi Dedica EC685:
🇩🇪 https://amzn.to/3Ak7mFr
🇺🇸 https://amzn.to/3GStdpX
🇬🇧 https://amzn.to/3yfHqu6
🇨🇦 https://amzn.to/3537jCa
🇦🇺 https://amzn.to/3a9qhdq
🇫🇷 https://amzn.to/3QZX7xT
🇵🇱 https://amzn.to/3I8wSBp
🇮🇹 https://amzn.to/3xJkQuW
►Dedica EC885:
🇺🇸 https://amzn.to/3OTzvZP
🇩🇪 https://amzn.to/3RtAy3R
🇮🇹 https://amzn.to/3e4Po2O
🇫🇷 https://amzn.to/3E8hLI9
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🇳🇱 https://amzn.to/3ya6nrr
🇨🇦 https://amzn.to/3y6ivZL
🇦🇺 https://amzn.to/3OQyotY
►Dedica EC785:
🇩🇪 https://amzn.to/3QZZkcB
🇫🇷 https://amzn.to/3y3T1fw
🇵🇱 https://amzn.to/3Ov0wmJ
🇮🇹 https://amzn.to/3yyIMBe
🇬🇧 https://amzn.to/3P0I0md
🛠 All the Dedica Gear: https://kit.co/tomscoffeecorner/delonghi-dedica-accessories (Amazon)
🛠 Grinder Suggestions: https://kit.co/tomscoffeecorner/grinder-suggestions (Amazon)
(*As an Amazon Associate I earn from qualifying purchases)
Chapters:
0:00 Intro
0:44 Dedica Commonalities
1:47 EC685
2:31 EC785
3:00 EC885
3:41 Which Model to Buy?
Specifications:
- 15 bar pressure heating system
- 15 cm wide, or 6 inches wide
- 149 x 330 x 303 mm (width x length, height)
- 1.1 liter water tank
- 1300 watts
- stainless steel finish
- auto stand-by
- removable water tank
- removable drip tray
- fast thermoblock system
- ESE pod compatible
AFFILIATE DISCLOSURE:
Some of the links used in the description will direct you to Amazon, as an Amazon Associate I earn from qualifying purchases at no additional cost to you.. Affiliate commissions help fund videos like this one.
#delonghidedicacomparison #tomscoffeecorner #delonghidedica
https://wn.com/Delonghi_Dedica_Disambiguation_Ec680,_Ec685,_Ec785,_Ec885
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision.
https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference
-------------------------------Products used/recommended in this video---------------------------------------------------
(these are affiliate links that help fund videos like this, at no extra cost to you)
►DeLonghi Dedica EC685:
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►Dedica EC885:
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►Dedica EC785:
🇩🇪 https://amzn.to/3QZZkcB
🇫🇷 https://amzn.to/3y3T1fw
🇵🇱 https://amzn.to/3Ov0wmJ
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🛠 All the Dedica Gear: https://kit.co/tomscoffeecorner/delonghi-dedica-accessories (Amazon)
🛠 Grinder Suggestions: https://kit.co/tomscoffeecorner/grinder-suggestions (Amazon)
(*As an Amazon Associate I earn from qualifying purchases)
Chapters:
0:00 Intro
0:44 Dedica Commonalities
1:47 EC685
2:31 EC785
3:00 EC885
3:41 Which Model to Buy?
Specifications:
- 15 bar pressure heating system
- 15 cm wide, or 6 inches wide
- 149 x 330 x 303 mm (width x length, height)
- 1.1 liter water tank
- 1300 watts
- stainless steel finish
- auto stand-by
- removable water tank
- removable drip tray
- fast thermoblock system
- ESE pod compatible
AFFILIATE DISCLOSURE:
Some of the links used in the description will direct you to Amazon, as an Amazon Associate I earn from qualifying purchases at no additional cost to you.. Affiliate commissions help fund videos like this one.
#delonghidedicacomparison #tomscoffeecorner #delonghidedica
- published: 19 Jan 2022
- views: 146360
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
- Order: Reorder
- Duration: 29:09
- Uploaded Date: 07 Jan 2021
- views: 545
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021...
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
https://wn.com/Disambiguation_–_Linking_Data_Science_And_Engineering_|_Nlp_Summit_2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
- published: 07 Jan 2021
- views: 545
1:26:51
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
- Order: Reorder
- Duration: 1:26:51
- Uploaded Date: 30 Mar 2021
- views: 61
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
https://wn.com/Caire_Webinar_|_Moving_Away_From_One_Size_Fits_All_Natural_Language_Processing_|_Rada_Mihalcea
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
- published: 30 Mar 2021
- views: 61
59:15
Hidden Topic Markov Models
- Order: Reorder
- Duration: 59:15
- Uploaded Date: 09 Oct 2007
- views: 22064
Google Tech Talks
August 8, 2007
ABSTRACT
Algorithms such as Latent Dirichlet Allocation (LDA) have achieved significant progress in modeling word document re...
Google Tech Talks
August 8, 2007
ABSTRACT
Algorithms such as Latent Dirichlet Allocation (LDA) have achieved significant progress in modeling word document relationships. These algorithms assume each word in the document was generated by a hidden topic and explicitly model the word distribution of each topic as well as the prior distribution over topics in the document. Given these parameters, the topics of all words in the same document are assumed to be independent.
In this work, we propose modeling the topics of words in the document as a Markov chain. Specifically, we assume that all words in the same sentence have the same topic, and successive sentences are more likely to have the same...
https://wn.com/Hidden_Topic_Markov_Models
Google Tech Talks
August 8, 2007
ABSTRACT
Algorithms such as Latent Dirichlet Allocation (LDA) have achieved significant progress in modeling word document relationships. These algorithms assume each word in the document was generated by a hidden topic and explicitly model the word distribution of each topic as well as the prior distribution over topics in the document. Given these parameters, the topics of all words in the same document are assumed to be independent.
In this work, we propose modeling the topics of words in the document as a Markov chain. Specifically, we assume that all words in the same sentence have the same topic, and successive sentences are more likely to have the same...
- published: 09 Oct 2007
- views: 22064
4:12
Watching The Mask But Without VFX
- Order: Reorder
- Duration: 4:12
- Uploaded Date: 27 Aug 2022
- views: 6749822
Get some cool drag & drop VFX here! ► https://www.famefocus.com/go/getvfx/ ◄
The Mask is a classic movie that surprisingly still holds up incredibly well even b...
Get some cool drag & drop VFX here! ► https://www.famefocus.com/go/getvfx/ ◄
The Mask is a classic movie that surprisingly still holds up incredibly well even by today's standards, and even though the movie was a great success, it has never really received all the credit it is due. Maybe this is because it was released in 1994, alongside films like Shawshank Redemption, Pulp Fiction, Forrest Gump, or True Lies, or perhaps it is because of its light-hearted comedic screenplay, but The Mask just wasn't taken seriously even though it pushed the limits of what was possible with VFX and became the first film to have a photo-real 3-D cartoon character using computer animation.
Like the music in this video? I made it!
Support me by getting it on any of these sites :P
Get it on iTunes: ► https://apple.co/2ENGfu9 ◄
Listen on Spotify: ► https://spoti.fi/3boTfCl ◄
Buy it on Amazon: ► https://amzn.to/2QVJZfk ◄
The Mask movie was loosely based on a comic of the same name which in turn was based on the works of the cartoonist legend Tex Avery. The works of Tex Avery were heavily referenced throughout the movie in various ways: with props, Images, Gags and iconic movements.
In fact, Avery's work was referenced so much that it actually became part of the look and the personality of The Mask himself and for the style of the visual effects.
VFX artists at ILM studied Tex Avery's work and began to build up a library of drawings and clips for use as reference material.
ILM then did a photo shoot with Jim Carrey and then their art department began manipulating his face to get an idea of how far they could go and just how it would look...
Read more here: www.famefocus.com
Follow us on Twitter: https://twitter.com/focusfame
The above ActionVFX link contains a Special Fame Focus Discount. We also earn an affiliate percentage of each purchase.
https://wn.com/Watching_The_Mask_But_Without_Vfx
Get some cool drag & drop VFX here! ► https://www.famefocus.com/go/getvfx/ ◄
The Mask is a classic movie that surprisingly still holds up incredibly well even by today's standards, and even though the movie was a great success, it has never really received all the credit it is due. Maybe this is because it was released in 1994, alongside films like Shawshank Redemption, Pulp Fiction, Forrest Gump, or True Lies, or perhaps it is because of its light-hearted comedic screenplay, but The Mask just wasn't taken seriously even though it pushed the limits of what was possible with VFX and became the first film to have a photo-real 3-D cartoon character using computer animation.
Like the music in this video? I made it!
Support me by getting it on any of these sites :P
Get it on iTunes: ► https://apple.co/2ENGfu9 ◄
Listen on Spotify: ► https://spoti.fi/3boTfCl ◄
Buy it on Amazon: ► https://amzn.to/2QVJZfk ◄
The Mask movie was loosely based on a comic of the same name which in turn was based on the works of the cartoonist legend Tex Avery. The works of Tex Avery were heavily referenced throughout the movie in various ways: with props, Images, Gags and iconic movements.
In fact, Avery's work was referenced so much that it actually became part of the look and the personality of The Mask himself and for the style of the visual effects.
VFX artists at ILM studied Tex Avery's work and began to build up a library of drawings and clips for use as reference material.
ILM then did a photo shoot with Jim Carrey and then their art department began manipulating his face to get an idea of how far they could go and just how it would look...
Read more here: www.famefocus.com
Follow us on Twitter: https://twitter.com/focusfame
The above ActionVFX link contains a Special Fame Focus Discount. We also earn an affiliate percentage of each purchase.
- published: 27 Aug 2022
- views: 6749822
-
One Size Fits All - Frank Zappa (Full Album)
One Size Fits All by Frank Zappa (Full Album)
published: 14 Sep 2018 -
Frank Zappa - One Size Fits All 1975 (The Motherts of Invention)
published: 04 May 2017 -
Frank Zappa - Inca Roads (Visualizer)
Official Audio for Inca Roads performed by Frank Zappa #FrankZappa #IncaRoads
published: 17 Feb 2023 -
ZAPPA and THE MOTHERS OF INVENTION - One Size Fits All LP 1975 Full Album
DISCO É CULTURA Tracklist and credits in comments Studios: The Record Plant, L.A.; Caribou; Paramount; KCET TV; Finnlevy Studiot, Helsinki; Wally Heider remote truck. Mastered at Kendun Studios. Label: Reprise Records – DS 2216 Format: Vinyl, LP, Album, Gatefold Country: Brazil Released: 1975
published: 11 Nov 2020 -
Po-Jama People
Provided to YouTube by Universal Music Group Po-Jama People · Frank Zappa · The Mothers Of Invention One Size Fits All ℗ 1975 Zappa Family Trust, Under exclusive license to Universal Music Enterprises, a Division of UMG Recordings, Inc. Released on: 2012-01-01 Producer: Frank Zappa Composer Lyricist: Frank Zappa Auto-generated by YouTube.
published: 03 Nov 2018 -
Deeper into ONE SIZE FITS ALL | FRANK ZAPPA
'Why does this sofa fit me so well? Like a glove?' And so perhaps is our place in the Universe. Here I try and explain why I fit so well within Zappa'a Universe.... also...there is one mistake...at the end I meant to say 'Go listen to Lumpy Gravy and Civilisation Phase III' This video raises more questions than it answers....if you have any drop them in the comments below. Become a Patreon! https://www.patreon.com/andyedwards Andy is a drummer, producer and educator. He has toured the world with rock legend Robert Plant and played on classic prog albums by Frost and IQ. As a drum clinician he has played with Terry Bozzio, Kenny Aronoff, Thomas Lang, Marco Minneman and Mike Portnoy. He also teaches drums privately and at Kidderminster College
published: 16 Mar 2022 -
Frank Zappa - San Ber'dino ,One size fits all ,1975 ( Baby Snakes ,live 1983 )
Frank Zappa..lead guitar Terry Bozzio..drums Roy Estrada..bass & vocal Adrian Belew..rhythm guitar & vocal Ed Mann..percussion Patrick O'Hearn..bass & vocal Peter Wolf..Keyboards & butter Tommy Mars..Keyboards
published: 10 Apr 2021 -
One Size Fits All - Frank Zappa One Album At A Time
#vinylrecords #vinylcollecting #vinylcommunity Here's a link to the video on Jim Gordon I mentioned https://youtu.be/q7w0Mo2RZjk And here's a link to a video about Johnny 'Guitar' Watson https://youtu.be/cUvYb8M4ius And, of course, here's a link to my Zappa playlist https://youtube.com/playlist?list=PL5Fb-2gbrXQzV1aoMAZUE25OqaZfgvus2
published: 05 Sep 2021 -
Frank Zappa, One Size Fits All, Album Reaction
A reaction to the classic sound of Frank Zappa. Dweezil Zappa: https://studio.youtube.com/video/ZR_mkA7_qpc/edit If you'd like to support this channel: check out my Patreon: https://www.patreon.com/stbbeyond My Other Channel, Soul Train Bro https://www.youtube.com/channel/UCJI2XElT99S2-laORbJUL2A?view_as=subscriber Merch: https://viralstyle.com/soultrainbro/stb-oilpainted-t https://viralstyle.com/soultrainbro/stb-ballcap https://viralstyle.com/soultrainbro/stb-black-white-t
published: 03 Jan 2022
developed with YouTube
43:01
One Size Fits All - Frank Zappa (Full Album)
- Order: Reorder
- Duration: 43:01
- Uploaded Date: 14 Sep 2018
- views: 576717
One Size Fits All by Frank Zappa (Full Album)
One Size Fits All by Frank Zappa (Full Album)
https://wn.com/One_Size_Fits_All_Frank_Zappa_(Full_Album)
One Size Fits All by Frank Zappa (Full Album)
- published: 14 Sep 2018
- views: 576717
43:01
Frank Zappa - One Size Fits All 1975 (The Motherts of Invention)
- Order: Reorder
- Duration: 43:01
- Uploaded Date: 04 May 2017
- views: 14295
- published: 04 May 2017
- views: 14295
8:45
Frank Zappa - Inca Roads (Visualizer)
- Order: Reorder
- Duration: 8:45
- Uploaded Date: 17 Feb 2023
- views: 237683
Official Audio for Inca Roads performed by Frank Zappa #FrankZappa #IncaRoads
Official Audio for Inca Roads performed by Frank Zappa #FrankZappa #IncaRoads
https://wn.com/Frank_Zappa_Inca_Roads_(Visualizer)
Official Audio for Inca Roads performed by Frank Zappa #FrankZappa #IncaRoads
- published: 17 Feb 2023
- views: 237683
42:19
ZAPPA and THE MOTHERS OF INVENTION - One Size Fits All LP 1975 Full Album
- Order: Reorder
- Duration: 42:19
- Uploaded Date: 11 Nov 2020
- views: 10627
DISCO É CULTURA
Tracklist and credits in comments
Studios: The Record Plant, L.A.; Caribou; Paramount; KCET TV; Finnlevy Studiot, Helsinki; Wally Heider remote...
DISCO É CULTURA
Tracklist and credits in comments
Studios: The Record Plant, L.A.; Caribou; Paramount; KCET TV; Finnlevy Studiot, Helsinki; Wally Heider remote truck. Mastered at Kendun Studios.
Label: Reprise Records – DS 2216
Format: Vinyl, LP, Album, Gatefold
Country: Brazil
Released: 1975
https://wn.com/Zappa_And_The_Mothers_Of_Invention_One_Size_Fits_All_Lp_1975_Full_Album
DISCO É CULTURA
Tracklist and credits in comments
Studios: The Record Plant, L.A.; Caribou; Paramount; KCET TV; Finnlevy Studiot, Helsinki; Wally Heider remote truck. Mastered at Kendun Studios.
Label: Reprise Records – DS 2216
Format: Vinyl, LP, Album, Gatefold
Country: Brazil
Released: 1975
- published: 11 Nov 2020
- views: 10627
7:42
Po-Jama People
- Order: Reorder
- Duration: 7:42
- Uploaded Date: 03 Nov 2018
- views: 532279
Provided to YouTube by Universal Music Group
Po-Jama People · Frank Zappa · The Mothers Of Invention
One Size Fits All
℗ 1975 Zappa Family Trust, Under exclu...
Provided to YouTube by Universal Music Group
Po-Jama People · Frank Zappa · The Mothers Of Invention
One Size Fits All
℗ 1975 Zappa Family Trust, Under exclusive license to Universal Music Enterprises, a Division of UMG Recordings, Inc.
Released on: 2012-01-01
Producer: Frank Zappa
Composer Lyricist: Frank Zappa
Auto-generated by YouTube.
https://wn.com/Po_Jama_People
Provided to YouTube by Universal Music Group
Po-Jama People · Frank Zappa · The Mothers Of Invention
One Size Fits All
℗ 1975 Zappa Family Trust, Under exclusive license to Universal Music Enterprises, a Division of UMG Recordings, Inc.
Released on: 2012-01-01
Producer: Frank Zappa
Composer Lyricist: Frank Zappa
Auto-generated by YouTube.
- published: 03 Nov 2018
- views: 532279
20:49
Deeper into ONE SIZE FITS ALL | FRANK ZAPPA
- Order: Reorder
- Duration: 20:49
- Uploaded Date: 16 Mar 2022
- views: 1785
'Why does this sofa fit me so well? Like a glove?' And so perhaps is our place in the Universe. Here I try and explain why I fit so well within Zappa'a Universe...
'Why does this sofa fit me so well? Like a glove?' And so perhaps is our place in the Universe. Here I try and explain why I fit so well within Zappa'a Universe....
also...there is one mistake...at the end I meant to say 'Go listen to Lumpy Gravy and Civilisation Phase III'
This video raises more questions than it answers....if you have any drop them in the comments below.
Become a Patreon! https://www.patreon.com/andyedwards
Andy is a drummer, producer and educator. He has toured the world with rock legend Robert Plant and played on classic prog albums by Frost and IQ.
As a drum clinician he has played with Terry Bozzio, Kenny Aronoff, Thomas Lang, Marco Minneman and Mike Portnoy.
He also teaches drums privately and at Kidderminster College
https://wn.com/Deeper_Into_One_Size_Fits_All_|_Frank_Zappa
'Why does this sofa fit me so well? Like a glove?' And so perhaps is our place in the Universe. Here I try and explain why I fit so well within Zappa'a Universe....
also...there is one mistake...at the end I meant to say 'Go listen to Lumpy Gravy and Civilisation Phase III'
This video raises more questions than it answers....if you have any drop them in the comments below.
Become a Patreon! https://www.patreon.com/andyedwards
Andy is a drummer, producer and educator. He has toured the world with rock legend Robert Plant and played on classic prog albums by Frost and IQ.
As a drum clinician he has played with Terry Bozzio, Kenny Aronoff, Thomas Lang, Marco Minneman and Mike Portnoy.
He also teaches drums privately and at Kidderminster College
- published: 16 Mar 2022
- views: 1785
5:10
Frank Zappa - San Ber'dino ,One size fits all ,1975 ( Baby Snakes ,live 1983 )
- Order: Reorder
- Duration: 5:10
- Uploaded Date: 10 Apr 2021
- views: 4434
Frank Zappa..lead guitar
Terry Bozzio..drums
Roy Estrada..bass & vocal
Adrian Belew..rhythm guitar & vocal
Ed Mann..percussion
Patrick O'Hearn..bass & vocal
Pet...
Frank Zappa..lead guitar
Terry Bozzio..drums
Roy Estrada..bass & vocal
Adrian Belew..rhythm guitar & vocal
Ed Mann..percussion
Patrick O'Hearn..bass & vocal
Peter Wolf..Keyboards & butter
Tommy Mars..Keyboards
https://wn.com/Frank_Zappa_San_Ber'Dino_,One_Size_Fits_All_,1975_(_Baby_Snakes_,Live_1983_)
Frank Zappa..lead guitar
Terry Bozzio..drums
Roy Estrada..bass & vocal
Adrian Belew..rhythm guitar & vocal
Ed Mann..percussion
Patrick O'Hearn..bass & vocal
Peter Wolf..Keyboards & butter
Tommy Mars..Keyboards
- published: 10 Apr 2021
- views: 4434
36:31
One Size Fits All - Frank Zappa One Album At A Time
- Order: Reorder
- Duration: 36:31
- Uploaded Date: 05 Sep 2021
- views: 583
#vinylrecords #vinylcollecting #vinylcommunity
Here's a link to the video on Jim Gordon I mentioned
https://youtu.be/q7w0Mo2RZjk
And here's a link to a video...
#vinylrecords #vinylcollecting #vinylcommunity
Here's a link to the video on Jim Gordon I mentioned
https://youtu.be/q7w0Mo2RZjk
And here's a link to a video about Johnny 'Guitar' Watson
https://youtu.be/cUvYb8M4ius
And, of course, here's a link to my Zappa playlist
https://youtube.com/playlist?list=PL5Fb-2gbrXQzV1aoMAZUE25OqaZfgvus2
https://wn.com/One_Size_Fits_All_Frank_Zappa_One_Album_At_A_Time
#vinylrecords #vinylcollecting #vinylcommunity
Here's a link to the video on Jim Gordon I mentioned
https://youtu.be/q7w0Mo2RZjk
And here's a link to a video about Johnny 'Guitar' Watson
https://youtu.be/cUvYb8M4ius
And, of course, here's a link to my Zappa playlist
https://youtube.com/playlist?list=PL5Fb-2gbrXQzV1aoMAZUE25OqaZfgvus2
- published: 05 Sep 2021
- views: 583
53:35
Frank Zappa, One Size Fits All, Album Reaction
- Order: Reorder
- Duration: 53:35
- Uploaded Date: 03 Jan 2022
- views: 4470
A reaction to the classic sound of Frank Zappa.
Dweezil Zappa:
https://studio.youtube.com/video/ZR_mkA7_qpc/edit
If you'd like to support this channel:
chec...
A reaction to the classic sound of Frank Zappa.
Dweezil Zappa:
https://studio.youtube.com/video/ZR_mkA7_qpc/edit
If you'd like to support this channel:
check out my Patreon:
https://www.patreon.com/stbbeyond
My Other Channel, Soul Train Bro
https://www.youtube.com/channel/UCJI2XElT99S2-laORbJUL2A?view_as=subscriber
Merch:
https://viralstyle.com/soultrainbro/stb-oilpainted-t
https://viralstyle.com/soultrainbro/stb-ballcap
https://viralstyle.com/soultrainbro/stb-black-white-t
https://wn.com/Frank_Zappa,_One_Size_Fits_All,_Album_Reaction
A reaction to the classic sound of Frank Zappa.
Dweezil Zappa:
https://studio.youtube.com/video/ZR_mkA7_qpc/edit
If you'd like to support this channel:
check out my Patreon:
https://www.patreon.com/stbbeyond
My Other Channel, Soul Train Bro
https://www.youtube.com/channel/UCJI2XElT99S2-laORbJUL2A?view_as=subscriber
Merch:
https://viralstyle.com/soultrainbro/stb-oilpainted-t
https://viralstyle.com/soultrainbro/stb-ballcap
https://viralstyle.com/soultrainbro/stb-black-white-t
- published: 03 Jan 2022
- views: 4470
12:55
QA is not one size fits all: Getting different answers to the same question from an AI [Lecture]
This is a single lecture from a course. If you you like the material
and want more contex...
published: 08 Nov 2023
QA is not one size fits all: Getting different answers to the same question from an AI [Lecture]
QA is not one size fits all: Getting different answers to the same question from an AI [Lecture]
- Report rights infringement
- published: 08 Nov 2023
- views: 177
This is a single lecture from a course. If you you like the material
and want more context (e.g., the lectures that came before), check out
the whole course:
https://umiacs.umd.edu/~jbg/teaching/CMSC_848/
(Including homeworks and reading.)
Ambiguous Question and Natural Questions Five Years Later:
https://www.youtube.com/watch?v=ZUN0GkaekHw
Vector Retrieval Review:
https://www.youtube.com/watch?v=A5ounv0D_cs
SituatedQA:
https://github.com/mikejqzhang/SituatedQA
Music: https://soundcloud.com/alvin-grissom-ii/review-and-rest
18:14
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Ke...
published: 14 Feb 2024
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
[OOPSLA23] Rapid: Region-Based Pointer Disambiguation
- Report rights infringement
- published: 14 Feb 2024
- views: 27
Rapid: Region-Based Pointer Disambiguation (Video, OOPSLA2 2023)
Khushboo Chitre, Piyus Kedia, and Rahul Purandare
(IIIT Delhi, India; IIIT Delhi, India; University of Nebraska-Lincoln, USA)
Abstract: Interprocedural alias analyses often sacrifice precision for scalability. Thus, modern compilers such as GCC and LLVM implement more scalable but less precise intraprocedural alias analyses. This compromise makes the compilers miss out on potential optimization opportunities, affecting the performance of the application. Modern compilers implement loop-versioning with dynamic checks for pointer disambiguation to enable the missed optimizations. Polyhedral access range analysis and symbolic range analysis enable 𝑂 (1) range checks for non-overlapping of memory accesses inside loops. However, these approaches work only for the loops in which the loop bounds are loop invariants. To address this limitation, researchers proposed a technique that requires 𝑂 (𝑙𝑜𝑔 𝑛) memory accesses for pointer disambiguation. Others improved the performance of dynamic checks to single memory access by constraining the object size and alignment. However, the former approach incurs noticeable overhead due to its dynamic checks, whereas the latter has a noticeable allocator overhead. Thus, scalability remains a challenge.
In this work, we present a tool, Rapid, that further reduces the overheads of the allocator and dynamic checks proposed in the existing approaches. The key idea is to identify objects that need disambiguation checks using a profiler and allocate them in different regions, which are disjoint memory areas. The disambiguation checks simply compare the regions corresponding to the objects. The regions are aligned such that the top 32 bits in the addresses of any two objects allocated in different regions are always different. As a consequence, the dynamic checks do not require any memory access to ensure that the objects belong to different regions, making them efficient.
Rapid achieved a maximum performance benefit of around 52.94% for Polybench and 1.88% for CPU SPEC 2017 benchmarks. The maximum CPU overhead of our allocator is 0.57% with a geometric mean of -0.2% for CPU SPEC 2017 benchmarks. Due to the low overhead of the allocator and dynamic checks, Rapid could improve the performance of 12 out of 16 CPU SPEC 2017 benchmarks. In contrast, a state-of-the-art approach used in the comparison could improve only five CPU SPEC 2017 benchmarks.
Article: https://doi.org/10.1145/3622859
Supplementary archive: https://doi.org/10.5281/zenodo.8321488 (Badges: Artifacts Available, Artifacts Evaluated — Reusable)
ORCID: https://orcid.org/0000-0001-6950-1055, https://orcid.org/0000-0002-9569-4089, https://orcid.org/0000-0001-8677-0601
Video Tags: alias analysis, LLVM, optimizations, regions, dynamic checks, memory allocation, allocation site, oopslab23main-p475-p, doi:10.1145/3622859, doi:10.5281/zenodo.8321488, orcid:0000-0001-6950-1055, orcid:0000-0002-9569-4089, orcid:0000-0001-8677-0601, Artifacts Available, Artifacts Evaluated — Reusable
Presentation at the OOPSLA2 2023 conference, October 22–27, 2023, https://2023.splashcon.org/track/splash-2023-oopsla
Sponsored by ACM SIGPLAN,
56:30
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is...
published: 12 Jan 2023
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
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- published: 12 Jan 2023
- views: 139
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
1:01
King Of The Hill But Its a Midwest Emo Intro
published: 03 Apr 2023
King Of The Hill But Its a Midwest Emo Intro
King Of The Hill But Its a Midwest Emo Intro
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- views: 460010
35:11
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
Natural language processing is an indispensable toolkit to build knowledge graphs from uns...
published: 30 Nov 2022
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
093 Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge - NODES2022
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- published: 30 Nov 2022
- views: 521
Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. However, it comes with a price. Keywords and entities in unstructured texts are ambiguous - the same concept can be expressed by many different linguistic variations. The resulting knowledge graph would thus be polluted with many nodes representing the same entity without any order. In this session, we show how the semantic similarity based on transformer embeddings and agglomerative clustering can help in the domain of academic disciplines and research fields and how Neo4j improves the browsing experience of this knowledge graph.
Speakers: Federica Ventruto, Alessia Melania Lonoce
Format: Full Session 30-45 min
Level: Advanced
Topics: #KnowledgeGraph, #MachineLearning, #Visualization, #General, #Advanced
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/093%20Keyword%20Disambiguation%20Using%20Transformers%20and%20Clustering%20to%20Build%20Cleaner%20Knowledge%20Graphs%20-%20NODES2022%20EMEA%20Advanced%206%20-%20Federica%20Ventruto%2C%20Alessia%20Melania%20Lonoce.pdf
Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com
4:50
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC68...
published: 19 Jan 2022
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
DeLonghi Dedica Disambiguation: EC680, EC685, EC785, EC885
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- published: 19 Jan 2022
- views: 146360
What's the difference between the various DeLonghi Dedica models? There is the EC680, EC685, EC785 and now the EC885. What gives? The Dedica has been around since 2013, originally released (and still being sold) as the EC 680. Since then, we have seen three newer models released, including the EC 685, the EC 785, and most recently the EC 885. Let us take a look at these different models, and their commonalities and differences. With this video, I hope to help decode the differences, and help buyers make their decision.
https://tomscoffeecorner.com/delonghi-dedica-ec680-ec685-ec785-ec885-whats-the-difference
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Chapters:
0:00 Intro
0:44 Dedica Commonalities
1:47 EC685
2:31 EC785
3:00 EC885
3:41 Which Model to Buy?
Specifications:
- 15 bar pressure heating system
- 15 cm wide, or 6 inches wide
- 149 x 330 x 303 mm (width x length, height)
- 1.1 liter water tank
- 1300 watts
- stainless steel finish
- auto stand-by
- removable water tank
- removable drip tray
- fast thermoblock system
- ESE pod compatible
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#delonghidedicacomparison #tomscoffeecorner #delonghidedica
29:09
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-t...
published: 07 Jan 2021
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
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- published: 07 Jan 2021
- views: 545
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
1:26:51
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Miha...
published: 30 Mar 2021
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
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Caire Webinar | Moving Away from One-Size-Fits-All Natural Language Processing | Rada Mihalcea
59:15
Hidden Topic Markov Models
Google Tech Talks
August 8, 2007
ABSTRACT
Algorithms such as Latent Dirichlet Allocation...
published: 09 Oct 2007
Hidden Topic Markov Models
Hidden Topic Markov Models
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- published: 09 Oct 2007
- views: 22064
Google Tech Talks
August 8, 2007
ABSTRACT
Algorithms such as Latent Dirichlet Allocation (LDA) have achieved significant progress in modeling word document relationships. These algorithms assume each word in the document was generated by a hidden topic and explicitly model the word distribution of each topic as well as the prior distribution over topics in the document. Given these parameters, the topics of all words in the same document are assumed to be independent.
In this work, we propose modeling the topics of words in the document as a Markov chain. Specifically, we assume that all words in the same sentence have the same topic, and successive sentences are more likely to have the same...
4:12
Watching The Mask But Without VFX
Get some cool drag & drop VFX here! ► https://www.famefocus.com/go/getvfx/ ◄
The Mask is a...
published: 27 Aug 2022
Watching The Mask But Without VFX
Watching The Mask But Without VFX
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The Mask is a classic movie that surprisingly still holds up incredibly well even by today's standards, and even though the movie was a great success, it has never really received all the credit it is due. Maybe this is because it was released in 1994, alongside films like Shawshank Redemption, Pulp Fiction, Forrest Gump, or True Lies, or perhaps it is because of its light-hearted comedic screenplay, but The Mask just wasn't taken seriously even though it pushed the limits of what was possible with VFX and became the first film to have a photo-real 3-D cartoon character using computer animation.
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Support me by getting it on any of these sites :P
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The Mask movie was loosely based on a comic of the same name which in turn was based on the works of the cartoonist legend Tex Avery. The works of Tex Avery were heavily referenced throughout the movie in various ways: with props, Images, Gags and iconic movements.
In fact, Avery's work was referenced so much that it actually became part of the look and the personality of The Mask himself and for the style of the visual effects.
VFX artists at ILM studied Tex Avery's work and began to build up a library of drawings and clips for use as reference material.
ILM then did a photo shoot with Jim Carrey and then their art department began manipulating his face to get an idea of how far they could go and just how it would look...
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One size fits all
"One size fits all" is a description for a product that would fit in all instances. The term has been extended to mean one style or procedure would fit in all related applications. It has been in use for over 5 decades. There are both positive and negative uses of the phrase.
History of the phrase
The term "one size fits all" has been used as a common, cliche phrase for over 5 decades. It was already a popular term, in 1975, when Frank Zappa recorded the album One Size Fits All.
Positive views of the phrase
There are several positive views of the phrase "one size fits for all":
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/One_size_fits_all
43:01
One Size Fits All - Frank Zappa (Full Album)
One Size Fits All by Frank Zappa (Full Album)
published: 14 Sep 2018
One Size Fits All - Frank Zappa (Full Album)
One Size Fits All - Frank Zappa (Full Album)
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One Size Fits All by Frank Zappa (Full Album)
43:01
Frank Zappa - One Size Fits All 1975 (The Motherts of Invention)
published: 04 May 2017
Frank Zappa - One Size Fits All 1975 (The Motherts of Invention)
Frank Zappa - One Size Fits All 1975 (The Motherts of Invention)
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- published: 04 May 2017
- views: 14295
8:45
Frank Zappa - Inca Roads (Visualizer)
Official Audio for Inca Roads performed by Frank Zappa #FrankZappa #IncaRoads
published: 17 Feb 2023
Frank Zappa - Inca Roads (Visualizer)
Frank Zappa - Inca Roads (Visualizer)
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- views: 237683
Official Audio for Inca Roads performed by Frank Zappa #FrankZappa #IncaRoads
42:19
ZAPPA and THE MOTHERS OF INVENTION - One Size Fits All LP 1975 Full Album
DISCO É CULTURA
Tracklist and credits in comments
Studios: The Record Plant, L.A.; Caribo...
published: 11 Nov 2020
ZAPPA and THE MOTHERS OF INVENTION - One Size Fits All LP 1975 Full Album
ZAPPA and THE MOTHERS OF INVENTION - One Size Fits All LP 1975 Full Album
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- published: 11 Nov 2020
- views: 10627
DISCO É CULTURA
Tracklist and credits in comments
Studios: The Record Plant, L.A.; Caribou; Paramount; KCET TV; Finnlevy Studiot, Helsinki; Wally Heider remote truck. Mastered at Kendun Studios.
Label: Reprise Records – DS 2216
Format: Vinyl, LP, Album, Gatefold
Country: Brazil
Released: 1975
7:42
Po-Jama People
Provided to YouTube by Universal Music Group
Po-Jama People · Frank Zappa · The Mothers O...
published: 03 Nov 2018
Po-Jama People
Po-Jama People
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- views: 532279
Provided to YouTube by Universal Music Group
Po-Jama People · Frank Zappa · The Mothers Of Invention
One Size Fits All
℗ 1975 Zappa Family Trust, Under exclusive license to Universal Music Enterprises, a Division of UMG Recordings, Inc.
Released on: 2012-01-01
Producer: Frank Zappa
Composer Lyricist: Frank Zappa
Auto-generated by YouTube.
20:49
Deeper into ONE SIZE FITS ALL | FRANK ZAPPA
'Why does this sofa fit me so well? Like a glove?' And so perhaps is our place in the Univ...
published: 16 Mar 2022
Deeper into ONE SIZE FITS ALL | FRANK ZAPPA
Deeper into ONE SIZE FITS ALL | FRANK ZAPPA
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- published: 16 Mar 2022
- views: 1785
'Why does this sofa fit me so well? Like a glove?' And so perhaps is our place in the Universe. Here I try and explain why I fit so well within Zappa'a Universe....
also...there is one mistake...at the end I meant to say 'Go listen to Lumpy Gravy and Civilisation Phase III'
This video raises more questions than it answers....if you have any drop them in the comments below.
Become a Patreon! https://www.patreon.com/andyedwards
Andy is a drummer, producer and educator. He has toured the world with rock legend Robert Plant and played on classic prog albums by Frost and IQ.
As a drum clinician he has played with Terry Bozzio, Kenny Aronoff, Thomas Lang, Marco Minneman and Mike Portnoy.
He also teaches drums privately and at Kidderminster College
5:10
Frank Zappa - San Ber'dino ,One size fits all ,1975 ( Baby Snakes ,live 1983 )
Frank Zappa..lead guitar
Terry Bozzio..drums
Roy Estrada..bass & vocal
Adrian Belew..rhyth...
published: 10 Apr 2021
Frank Zappa - San Ber'dino ,One size fits all ,1975 ( Baby Snakes ,live 1983 )
Frank Zappa - San Ber'dino ,One size fits all ,1975 ( Baby Snakes ,live 1983 )
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- views: 4434
Frank Zappa..lead guitar
Terry Bozzio..drums
Roy Estrada..bass & vocal
Adrian Belew..rhythm guitar & vocal
Ed Mann..percussion
Patrick O'Hearn..bass & vocal
Peter Wolf..Keyboards & butter
Tommy Mars..Keyboards
36:31
One Size Fits All - Frank Zappa One Album At A Time
#vinylrecords #vinylcollecting #vinylcommunity
Here's a link to the video on Jim Gordon I...
published: 05 Sep 2021
One Size Fits All - Frank Zappa One Album At A Time
One Size Fits All - Frank Zappa One Album At A Time
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- views: 583
#vinylrecords #vinylcollecting #vinylcommunity
Here's a link to the video on Jim Gordon I mentioned
https://youtu.be/q7w0Mo2RZjk
And here's a link to a video about Johnny 'Guitar' Watson
https://youtu.be/cUvYb8M4ius
And, of course, here's a link to my Zappa playlist
https://youtube.com/playlist?list=PL5Fb-2gbrXQzV1aoMAZUE25OqaZfgvus2
53:35
Frank Zappa, One Size Fits All, Album Reaction
A reaction to the classic sound of Frank Zappa.
Dweezil Zappa:
https://studio.youtube.com/...
published: 03 Jan 2022
Frank Zappa, One Size Fits All, Album Reaction
Frank Zappa, One Size Fits All, Album Reaction
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A reaction to the classic sound of Frank Zappa.
Dweezil Zappa:
https://studio.youtube.com/video/ZR_mkA7_qpc/edit
If you'd like to support this channel:
check out my Patreon:
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One Size Fits All - Frank Zappa (Full Album)...
Frank Zappa - One Size Fits All 1975 (The Mother...
Frank Zappa - Inca Roads (Visualizer)...
ZAPPA and THE MOTHERS OF INVENTION - One Size Fits...
Po-Jama People...
Deeper into ONE SIZE FITS ALL | FRANK ZAPPA...
Frank Zappa - San Ber'dino ,One size fits all ,19...
One Size Fits All - Frank Zappa One Album At A Tim...
Frank Zappa, One Size Fits All, Album Reaction...
-
by Nylons
-
by Statler Brothers
-
by Why Store
One Size Fits All
by: NylonsMan, that kind of man
Some people live to be the life of the party
Lampshade hat and they're away to the races
So many people loving so many lovers
Takin' everybody to some strangers place
Don't get me wrong I've had my share of affairs
I've had some hot nights singin' one night stands
But right up front I think it's only fair
To tell you I've got different plans
That's not the way I am, I'm not that kind of man
It's not that I am shy, I'm just not that kind of guy
So if you feel the same, you're tired of playing games
Then try to understand that I'm not that kind of man
Man, that kind of man
A lot of people take their loving too lightly
They change emotions like they're changing their clothes
They come alive and thrive on new lovers nightly
How they do it I don't know 'cause
That's not the way I am, I'm not that kind of man
It's not that I am shy, I'm just not that kind of guy
So if you feel the same, you're tired of playing games
Then try to understand that I'm not that kind of man
Man, that kind of man
If you see him standing on the edge of the action
You think he's only playing it cool
He's only looking for a little sweet satisfaction
I'm tired of being somebody's fool, oh yeah, yeah
So if you spot me on the fringe of the party
Holding up the walls with hot and hungry eyes
Don't be afraid to say hello to a stranger
You just might like your surprise
That's not the way I am, I'm not that kind of man
It's not that I am shy, I'm just not that kind of guy
So if you feel the same, you're tired of playing games
Then try to understand that I'm not that kind of man
Man, that kind of man, oh, no, no
That's not the way I am, I'm not that kind of man
It's not that I am shy, I'm just not that kind of guy
So if you feel the same, you're tired of playing games
Then try to understand that I'm not that kind of man
Man, that kind of man
That's not the way I am, I'm not that kind of man
Not that kind of man