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39:11 [22/23] AI & Storytelling - Invited Lecture:… [22/23] AI & Storytelling - Invited Lecture: Computer Vision and applications for Storytelling	[22/23] AI & Storytelling - Invited Lecture: Computer Vision and applications for Storytelling Dr. Hakan Bilen [https://www.inf.ed.ac.uk/people/staff/Hakan_Bilen.html], of the School of Informatics, gives an invited talk on Recent Advances in Creative Computer Vision. a.i. computer vision artificial intelligence storytelling machine learning image sketch method methods sketches model input strokes images representations thing horse models dataset background objects abstraction lots clip loss From Pavlos Andreadis 2 likes 10 plays 0 Course Code EFIE11141/2 Licence Type All rights reserved Language English Date Created March 13th, 2023 Retain Source File Yes
27:58 AML: Logistic Regression - Logistic Regression AML: Logistic Regression - Logistic Regression	AML: Logistic Regression - Logistic Regression Applied Machine Learning - INFR11211 Logistic Regression - Logistic Regression Part 2/3 aml machine learning logistic regression function vector decision boundary term classes sense class bias probability input model weight left weights direction regression output values classifier From Oisin Mac Aodha 1 likes 269 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
01:26:58 Martin Albrecht - Solving the Learning with… Martin Albrecht - Solving the Learning with Errors Problem	Martin Albrecht - Solving the Learning with Errors Problem Subtitles will be added at a later date. 26 July 2022 Foundations and Applications of Lattice-based Cryptography Martin Albrecht, Royal Holloway, University of London Solving the Learning with… vector basis thing vectors lattice algorithm dimension reduction beta shape bit volume problem kind cost input oracle algorithms enumeration block From Greg McCracken 0 likes 35 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 2nd, 2022 Retain Source File Yes
01:03:15 Lifting Theorems: A Survey - Robert Robere Lifting Theorems: A Survey - Robert Robere	Lifting Theorems: A Survey - Robert Robere Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation icms problem communication tree complexity decision rectangle function thing input monotone bit problems resolution proof query size formula circuit tfnp sense From Iain Cms 0 likes 12 plays 0 Licence Type All rights reserved Date Created July 6th, 2022
27:04 The minimum circuit size problem is hard for sum… The minimum circuit size problem is hard for sum of squares - Kilian Risse	The minimum circuit size problem is hard for sum of squares - Kilian Risse Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation The minimum circuit size problem is hard for sum of squares KTH Royal Institute of Technology Kilian Risse icms circuit formula size alpha circuits functions degree variables question sos proof input bounds gamma problem csp row inputs table truth From Iain Cms 0 likes 12 plays 0 Licence Type All rights reserved Date Created July 5th, 2022
28:01 On the range avoidance problem for circuits -… On the range avoidance problem for circuits - Hanlin Ren	On the range avoidance problem for circuits - Hanlin Ren Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation On the range avoidance problem for circuits University of Oxford Hanlin Ren icms complexity problem proof generator output string algorithm input katie p. length circuit algorithms sense programme talk hypothesis stretch capacity inputs From Iain Cms 0 likes 29 plays 0 Licence Type All rights reserved Date Created July 5th, 2022
26:32 Connections between total search and lower bounds… Connections between total search and lower bounds - Oliver Korten	Connections between total search and lower bounds - Oliver Korten Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation Connections between total search and lower bounds Columbia university, US Oliver Korten icms epsilon principle space machine algorithm theorem memory sort problem string bit length computation bits thing pigeonhole machines input simulation circuit From Iain Cms 0 likes 14 plays 0 Licence Type All rights reserved Date Created July 4th, 2022
41:28 Accelerating Mesh Adaptation using Neural… Accelerating Mesh Adaptation using Neural Networks - Joseph Wallwork	Accelerating Mesh Adaptation using Neural Networks - Joseph Wallwork Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Accelerating Mesh Adaptation using Neural Networks Joseph Wallwork (Imperial College London) 12 May 2022 icms mesh solution error estimation adaptation pde hand side goal cases equation problem approach test networks function element input accuracy method From Iain Cms 0 likes 24 plays 0 Licence Type All rights reserved Language English Date Created May 16th, 2022
40:54 PET is Wonderful 2021 - Proffered talks (Part 1) PET is Wonderful 2021 - Proffered talks (Part 1)	PET is Wonderful 2021 - Proffered talks (Part 1) Proffered talks from PET is Wonderful 2021 (Part 1). Automated caption generation was used for this media. There was no human intervention and the captions will have variable accuracy. pet is wonderful brain blood reference tracer minutes suv question uptake pet potential distribution volume females tissue image region input model traces males From Adriana Tavares 0 likes 15 plays 0 Licence Type All rights reserved
01:02:57 René Vidal Presentation - SSPD 2021 René Vidal Presentation - SSPD 2021	René Vidal Presentation - SSPD 2021 Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Academic Keynote Speaker: Semantic Information Pursuit" Speaker: René Vidal, Johns Hopkins… sspd 2021 task queries entropy query definition image tasks symbols notion variables goal algorithm input representation question patches images probability theory length From Joe Burchell 0 likes 9 plays 0 Licence Type All rights reserved Language English Date Created September 15th, 2021
14:58 CogSci Lecture 2 part 1 CogSci Lecture 2 part 1	CogSci Lecture 2 part 1 Introduction to Cognitive Science lecture 2 part 1 2021-22 Jia Loy Computation in cognitive science computer programme programming task devices things instance instructions lecture humans output input unit image computers machine bus times examples components From Alistair Isaac 0 likes 155 plays 0
22:06 FNLP 11c FNLP 11c	FNLP 11c Finite State Transducers for Morphology morphology finite state transducers morphological parsing and generation form boundary words transducers cat stem hash character input stage suffix fox word geese foxes transducer string output examples end From Alex Lascarides 0 likes 64 plays 0 Licence Type All rights reserved The University of Edinburgh
22:34 FNLP 11b FNLP 11b	FNLP 11b Morphology: Finite State Transducers morphology finite state automata finite state transducers form transducers output input verb string word forms character words b. arc noun surface choice walk fox fact rules characters From Alex Lascarides 0 likes 68 plays 0 Licence Type All rights reserved The University of Edinburgh
12:24 XAI Lecture Recording - Framework for XAI (Part 3) XAI Lecture Recording - Framework for XAI (Part 3)	XAI Lecture Recording - Framework for XAI (Part 3) This lecture will cover several frameworks outlining differences between transparent and opaque ML models, different XAI techniques, and types of explanations. xai xai course explainable machine learning techniques instance sense counterfactuals explanations examples model transparency framework decision models behaviour explanation features feature input technique limitations From Auste Simkute 0 likes 28 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
13:11 XAI Lecture Recording - Preface to XAI (Part 2) XAI Lecture Recording - Preface to XAI (Part 2)	XAI Lecture Recording - Preface to XAI (Part 2) This lecture will introduce XAI and its techniques. xai machine learning explainable machine learning model interpretability machine learning models explanations kind decision instance explainability techniques accuracy input feature From Auste Simkute 0 likes 30 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created June 30th, 2021
11:45 XAI Lecture Recording - Preface to XAI (Part 1) XAI Lecture Recording - Preface to XAI (Part 1)	XAI Lecture Recording - Preface to XAI (Part 1) This lecture will formally introduce you to XAI and its techniques. xai explainable machine learning machine learning model output input machine transparency kind module sense models things learning idea lecture notion bit function questions bits decomposability question From Auste Simkute 0 likes 43 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created June 30th, 2021

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