Search for tag: "representation"

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12:10 Universal Design for Learning Universal Design for Learning	Universal Design for Learning students learning ways networks assessment barriers flexibility environment skills udl evidence action representation strategies material equity activities examples guides goals options tools expression learners motivation From Erica Bender 0 likes 0 plays 0
55:00 ECS-036A: 2023-05-17 13:07 ECS-036A: 2023-05-17 13:07	ECS-036A: 2023-05-17 13:07 ECS-036A Lecture 2023-05-17 at 13:07 fact point breakpoint function integer things thing gdb stack pointer argument break arg string segmentation binary decimal representation character segment From Matthew Bishop 0 likes 21 plays 0
12:59 Stage 5 Part 3: Interrogating Results Stage 5 Part 3: Interrogating Results	Stage 5 Part 3: Interrogating Results equity students student groups dis patterns performance disparities parody urm norm representation outcomes gaps practice asset desegregation experiences disaggregation baseline categories gap From Erica Bender 0 likes 1 plays 0
50:14 Stefan Schonsheck P.h.D. - Representation of… Stefan Schonsheck P.h.D. - Representation of Non-Euclidean Domains and Analysis of Signals Thereon	Stefan Schonsheck P.h.D. - Representation of Non-Euclidean Domains and Analysis of Signals Thereon CeDAR (Center for Data science and Artificial intelligence Research) and UCD4IDS (UC Davis TETRAPODS Institute for Data Science) held their first joint conference in person on Friday, December 2,… artificial intelligence data science machine learning cedar tetrapods basis point space kind points problem manifold representation function circle approximation functions bunch analysis graph idea things charts chart complex From Hasina Mamtaz 0 likes 11 plays 0
05:58 Tutorial on Determining Clusters Tutorial on Determining Clusters	Tutorial on Determining Clusters clusters cluster table coefficient function numbers dataset explanation representation electrochemistry concepts clustering goods library package packages solubility factor baggage base From Ozcan Gulacar 0 likes 7 plays 0
00:54 Hierarchical Training for Distributed Deep… Hierarchical Training for Distributed Deep Learning over Bandlimited Networks - Siyu Qiu	Hierarchical Training for Distributed Deep Learning over Bandlimited Networks - Siyu Qiu Distributed deep learning (DL) plays a critical role in many wireless Internet of Things (IoT) applications including remote camera deployment. This work addresses three practical challenges in… ecexpo 2022 image encoder device cloud corruptions representation guidance box modules decoder autoencoder deployment task model server cost devices edge classification networks From Philip Young 0 likes 5 plays 0
01:20:53 ECS20 - W22 - Lecture 8 (4R): Sets 3 ECS20 - W22 - Lecture 8 (4R): Sets 3	ECS20 - W22 - Lecture 8 (4R): Sets 3 Review of strings and languages. Closing a set of languages using some operators. Regular languages. Examples. BYTE, WORD32, and WORD64 as languages computers "like", and how we… strings languages union concatenation star kleene closure bytes words unsigned integers floating point numbers float32 float64 ieee 754 ieee floating point standard relations string language numbers sets relation representation From Phil Rogaway 0 likes 86 plays 0
01:20:16 ECS20 - W22 - Lecture 2 (1R): Logic 1 ECS20 - W22 - Lecture 2 (1R): Logic 1	ECS20 - W22 - Lecture 2 (1R): Logic 1 Familiar sets and operators on them. The boolean domain and basic operators on booleans (AND, OR, NOT). Representing numbers in binary, and in other bases. Can you represent anything you care about… boolean logic operators logical operators values truth numbers operator table function thing integers notation symbol representation things base negation word digits variables kind formula From Phil Rogaway 0 likes 147 plays 0
01:09:21 AMS-1C: Lecture 09-29 AMS-1C: Lecture 09-29	AMS-1C: Lecture 09-29 AMS-1C Lecture 2021-09-29 at 16:10 narrative story person mother mom identity relationship things students representation eyes autobiographies monday malala discourse speaker audience affiliation givers end From Eleftheria Arapoglou 0 likes 18 plays 0
42:29 Meeting 5-18-21: Neural Engineering Framework Meeting 5-18-21: Neural Engineering Framework	Meeting 5-18-21: Neural Engineering Framework Algorithmic Frameworks for Neuromorphic Computing: Neural Engineering Framework (NEF) Luis El Srouji gives an overview and explanation of the Neural Engineering Framework which can calculate weight… neuromorphic neuroscience spiking neural networks vector neurons ensemble neuron activity function vectors input direction transformations radius model framework x. dimensions values matrix space representation population From Luis El Srouji 0 likes 20 plays 0
47:29 abiy.tasissa.5.11 abiy.tasissa.5.11	abiy.tasissa.5.11 Abstract: Sparse Manifold clustering and embedding (SMCE) is an algorithm to cluster nonlinear manifolds using self-representation in the dictionary of data points and a proximity regularization. A… points point problem atoms clustering coefficients dictionary reconstruction subspace algorithm graph sparsity coefficient network matrix representations linear representation manifold triangulation From Stefan Schonsheck 0 likes 48 plays 0
01:11:39 yi.ma.4.13 yi.ma.4.13	yi.ma.4.13 In this talk, we offer an entirely “white box’’ interpretation of deep (convolution) networks from the perspective of data compression (and group invariance). In particular, we show… network networks thing lot class layers things rate structure classes space question optimization channels convolution measure representation compression backpropagation layer From Stefan Schonsheck 0 likes 26 plays 0
07:03 ECS 220 7b:7.3-4 a universal partial recursive… ECS 220 7b:7.3-4 a universal partial recursive function	ECS 220 7b:7.3-4 a universal partial recursive function function integer functions input representation integers times bar description numbers interpreter thing p3 recursion cases base theorem godel 1930s python From David Doty 0 likes 22 plays 0
07:58 ECS 220 4c:6.3-1 problems not in P and a natural… ECS 220 4c:6.3-1 problems not in P and a natural problem in EXP - P	ECS 220 4c:6.3-1 problems not in P and a natural problem in EXP - P circuit problem algorithm input gate problems representation gates complexity circuits output inputs bits assignment 1960s thing p. minus complete size From David Doty 0 likes 30 plays 0
04:04 ECS 220 3a:4-5.2 string representation of Turing… ECS 220 3a:4-5.2 string representation of Turing machine	ECS 220 3a:4-5.2 string representation of Turing machine tape machine head configuration position alphabet bits string turing cell strings representation binary circuit zeros symbols log blank content algorithm From David Doty 0 likes 27 plays 0
31:10 LP Polyhedra-Lec9 LP Polyhedra-Lec9	LP Polyhedra-Lec9 Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones. polyhedra polar cone inequalities vectors lambda vector inequality linear lemma matrix combinations theorem containment race columns s. representations representation description definition From Jesus De Loera 0 likes 164 plays 0