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33:43 AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Visualisation	AML: Non-Linear Dimensionality Reduction - Visualisation Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2 aml machine learning dimensionality reduction visualisation space distance points embedding graph manifold measure point distances distribution neighbours linear dataset things weights methods reduction dimensionality iso sne From Siddharth N 0 likes 84 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
18:28 AML: Clustering - Evaluation AML: Clustering - Evaluation	AML: Clustering - Evaluation Applied Machine Learning - INFR11211 AML: Clustering - Evaluation Part 3/3 aml machine learning clustering evaluation cluster clusters points class distance measure reference labels classification rand score question means point silhouette situation things pairs From Siddharth N 0 likes 87 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
23:54 AML: Clustering - Hierarchical Clustering AML: Clustering - Hierarchical Clustering	AML: Clustering - Hierarchical Clustering Applied Machine Learning - INFR11211 AML: Clustering - Hierarchical Clustering Part 2/3 aml machine learning clustering hierarchical clustering clusters distance points cluster distances process algorithm level means step things pairwise point hierarchy pairs approach j. formulation measure From Siddharth N 0 likes 96 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
17:14 AML: Clustering - K-Means AML: Clustering - K-Means	AML: Clustering - K-Means Applied Machine Learning - INFR11211 AML: Clustering - K-Means Part 1/3 aml machine learning clustering cluster clusters points distance centroid centroids inter point colours measure dataset groups kinds values idea means distances colour algorithms From Siddharth N 0 likes 95 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
41:36 Robust and Adaptive Estimation of a Density on … Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud	Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud Structural Breaks and Shape Constraints Robust and Adaptive estimation of a Density on the Line under a Shape Constraint Yannick Baraud (University of Luxembourg) 19 May 2022 icms density estimator model densities star interval concave monotone kind result class function distribution distance convex linear approximation respect intervals target From Iain Cms 0 likes 19 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
41:37 Optimal Transport Methods for Mesh Adaption -… Optimal Transport Methods for Mesh Adaption - Chris Budd	Optimal Transport Methods for Mesh Adaption - Chris Budd Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Optimal Transport Methods for Mesh Adaptation Chris Budd (University of Bath) 10 May 2022 This talk is being… icms mesh equation method domain methods solution function regularity sort problem bit error thing corner adaptivity things gamma monitor transport distance From Iain Cms 0 likes 25 plays 0 Licence Type All rights reserved Language English Date Created May 11th, 2022
55:51 One World SNIPS: Alain Durmus One World SNIPS: Alain Durmus	One World SNIPS: Alain Durmus One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems, 16 March 2022 Alain Durmus (ENS Paris-Saclay) On the geometric convergence for MALA under verifiable conditions maths geometric convergence verifiable fact convergence condition kind respect size step distribution assumption gamma solution game infusion mobile function distance x. times fix rates From Simon Kershaw 0 likes 36 plays 0 Licence Type All rights reserved
43:51 Pattern formation through spatial segregation -… Pattern formation through spatial segregation - Professor Susanna Terracini	Pattern formation through spatial segregation - Professor Susanna Terracini EMS meeting hosted by Heriot-Watt University Pattern formation through spatial segregation Professor Susanna Terracini (Universita di Torino) 18 February 2022 To remove the captions from this video,… mathematics problem boundary distance limit point interaction configuration energy ratio problems diffusion reflection equation density components exponent fact statement points solution From GILLIAN KERR 0 likes 18 plays 0 Licence Type All rights reserved Language english Date Created February 18th, 2022
52:01 Jiahua Chen (University of British Columbia,… Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures	Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures 26 November 2021 Jiahua Chen (University of British Columbia, Vancouver, Canada) - Distributed Learning of Finite Gaussian Mixtures. Advances in information technology have led to extremely large… icms statistics research distribution mixture function model distance reduction transportation divergence problem cost dataset algorithm estimator method point space combination machine distributions population From OLLIE Quinn 0 likes 19 plays 0 Licence Type All rights reserved Language English Date Created November 26th, 2021
01:24:22 DDC Session 6 Recording DDC Session 6 Recording	DDC Session 6 Recording Recording of Session 6 of data-driven chemistry 2021-22 python data-driven chemistry units bit array precision numbers arrays distance kind things rooms miles breakout session metres deviation hour errors questions distribution accuracy From James Cumby 0 likes 47 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Date Created October 28th, 2021 Retain Source File Yes
30:21 Mark Briers Presentation - SSPD 2021 Mark Briers Presentation - SSPD 2021	Mark Briers Presentation - SSPD 2021 Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Optimising and Understanding the Impact of the NHS COVID-19 app Using Data Science" Speaker: Mark… sspd 2021 characterization risk distance problem lot fact function kind space england wales cases paper defence minutes performance transmission diagram stuff inference From Joe Burchell 0 likes 16 plays 0 Licence Type All rights reserved Language English Date Created September 15th, 2021
01:41:32 DDC Session 4 Recording DDC Session 4 Recording	DDC Session 4 Recording Recording of session 4 of data-driven chemistry 2021-22 python data-driven chemistry thing things problem nmr bit function step acid point steps doublet question session idea peak answer proton sequence distance problems From James Cumby 0 likes 37 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Language English Date Created October 14th, 2021 Retain Source File Yes
25:54 Pietro Siorpaes - How to discretize some Optimal… Pietro Siorpaes - How to discretize some Optimal Transport problems with linear constraints	Pietro Siorpaes - How to discretize some Optimal Transport problems with linear constraints 30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Edition How to discretize some Optimal Transport problems with linear constraintsPietro Siorpaes (Imperial… icms siorpaes discretize measures constraints transport measure problem hat mu algebra comics variables martingale paper sigma points space constraint distance approach minimizer transports From OLLIE Quinn 0 likes 19 plays 0 Licence Type All rights reserved Date Created September 2nd, 2021
31:09 James Foster - Neural stochastic differential… James Foster - Neural stochastic differential equations for time series modelling	James Foster - Neural stochastic differential equations for time series modelling 30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Ediition Neural stochastic differential equations for time series modelling James Foster (University of… series modelling foster neural stochastic sd function loss distance question network networks model samples motion models series things discriminator gradient generator approach linear train solution From OLLIE Quinn 0 likes 22 plays 0 Licence Type All rights reserved
34:55 Welcome Ceremony 2021 (BSL with closed captioning) Welcome Ceremony 2021 (BSL with closed captioning)	Welcome Ceremony 2021 (BSL with closed captioning) The Principal and Vice-Chancellor, Professor Peter Mathieson, with other members of the University community, have recorded an exclusive video to officially welcome all new and returning students… welcome week 2021 principal's welcome new students returning students undergraduate welcome week welcome distance learning edinburgh student students place campus staff pandemic association advice experience events members person opportunity opportunities lives principal role things president months From Rebecca Whitefield 4 likes 2,822 plays 0 Publisher Events and Protocol Office Licence Type All rights reserved The University of Edinburgh Language English Date Created September 6th, 2021 Retain Source File Yes
01:19 Young Voices series: How do you continue with… Young Voices series: How do you continue with your learning while travelling?	Young Voices series: How do you continue with your learning while travelling? This video is part of the STEP Young Voices project. In collaboration with young people from travelling communities, and Animation Jam, the video series aims to raise awareness of Traveller culture… young person travellers schools education distance learning mobility remote teaching voice culture From Pauline Duncan 0 likes 119 plays 0 Publisher STEP Licence Type All rights reserved Language UK Date Created September 1st, 2021 Retain Source File Yes

Search for tag: "distance"

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