Search for tag: "distances"

22 Media

AML: Non-Linear Dimensionality Reduction -… duration 33 minutes 43 seconds 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 1 likes 368 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Clustering - Hierarchical Clustering duration 23 minutes 54 seconds 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 2 likes 454 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
AML: Clustering - K-Means duration 17 minutes 14 seconds 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 1 likes 426 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
Agnese Barbensi duration 31 minutes 42 seconds Agnese Barbensi Agnese Barbensi	Agnese Barbensi Talk at kinetoplast DNA workshop (2-4 February 2022) higgs centre point things proteins diagram thing question protein landscape picture landscapes diagrams class distances space features curves geometry structure structures feature From Lyndsey Ballantyne 0 likes 10 plays 0 Licence Type All rights reserved The University of Edinburgh
Extremes of Stochastic Processes: Johannes Heiny duration 20 minutes 4 seconds Extremes of Stochastic Processes: Johannes Heiny Extremes of Stochastic Processes: Johannes Heiny	Extremes of Stochastic Processes: Johannes Heiny This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Johannes Heiny Talk Title: Extremes of interpoint distances of high-dimensional… eva points distribution maximum correlation sample matrix covariance function point vectors distances moment sequence range entries norm variables coefficient sum result From Belle Taylor 0 likes 16 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
Sparsity in High-Dimensional Extremes: Stanislav… duration 22 minutes 42 seconds Sparsity in High-Dimensional Extremes: Stanislav… Sparsity in High-Dimensional Extremes: Stanislav Volgushev	Sparsity in High-Dimensional Extremes: Stanislav Volgushev This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Stanislav Volgushev Talk Title: Tree structure learning for extremes Abstract:… eva distribution tree multivariate pareto distributions structure result graph edges vector models variables distances space vectors talk property mass k. condition From Belle Taylor 0 likes 64 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 3rd, 2021
Spatial Extremes: Arnab Hazra duration 15 minutes 53 seconds Spatial Extremes: Arnab Hazra Spatial Extremes: Arnab Hazra	Spatial Extremes: Arnab Hazra This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Arnab Hazra Talk Title: A sparse Gaussian scale mixture process for modeling… eva model process dependence locations independence rainfall distances min structure tail form function markov beta computation distance thing processes values chi From Belle Taylor 0 likes 48 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
Johannes Heiny EVA Talk Preview duration 2 minutes 31 seconds Johannes Heiny EVA Talk Preview Johannes Heiny EVA Talk Preview	Johannes Heiny EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Johannes Heiny Talk Title: Extremes of interpoint distances of high-dimensional random vectors Abstract: We… icms eva theory solution data vectors random random vectors high-dimensional distances interpoint extremes points point process diameter ball function infinity pairs distance unit convergence interest conventions applications examples talk j. norm From Anna Munro 0 likes 16 plays 0 Licence Type All rights reserved Language English
Arnab Hazra EVA Talk Preview duration 2 minutes 57 seconds Arnab Hazra EVA Talk Preview Arnab Hazra EVA Talk Preview	Arnab Hazra EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Arnab Hazra Talk Title: A sparse Gaussian scale mixture process for modeling short-range extremal dependence… icms eva solution theory hazra sparse scale mixture processes modeling extremal range model s1 tail result shocks rainfall figure dependence term process properties conference presentation analysis simulation computation dataset distances construction From Anna Munro 0 likes 18 plays 0 Licence Type All rights reserved Language English
From T-shirt to Greenhouse Gas duration 1 minute 14 seconds From T-shirt to Greenhouse Gas From T-shirt to Greenhouse Gas	From T-shirt to Greenhouse Gas Climate change solutions climate change solutions impacts things production desserts kinds climate contributor gases greenhouse environment resources shirt cotton countries consumers choices globalisation distances place chains From Calum Macphail 0 likes 100 plays 0 Course Code CS101x Licence Type Creative Commons - Attribution Share A Like
4.a duration 9 minutes 50 seconds 4.a 4.a	4.a First video on Informed Search Algorithms. inf2d reasoning and agents artificial intelligence node function algorithm problem solution bucharest cost path distance evaluation kilometres complexity functions goal heuristic estimate tree algorithms distances knowledge From Claudia-Elena Chirita 0 likes 277 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
ML2: Dimensionality Reduction duration 8 minutes 32 seconds ML2: Dimensionality Reduction ML2: Dimensionality Reduction	ML2: Dimensionality Reduction In this second video, we motivate why it is useful to reduce the dimensionality of your data, and describe how this can be done linearly, using a transformation matrix. We describe a setup whereby we… matrix reconstruction squiggle points dimensionality transpose transformation point column dataset reconstructions distance era columns dimensions inverse rows dimension x. distances From Elliot Crowley 0 likes 50 plays 0
Lance-Williams algorithm duration 7 minutes 59 seconds Lance-Williams algorithm Lance-Williams algorithm	Lance-Williams algorithm Lance-Williams algorithm iaml hierarchical clustering distance cluster clusters constants numbers difference j. distances matrix algorithm argument rule minimum decay alright points things max result minus From Nigel Goddard 1 likes 2,630 plays 0 Licence Type Creative Commons - Attribution
Agglomerative clustering - dendrogram duration 5 minutes 3 seconds Agglomerative clustering - dendrogram Agglomerative clustering - dendrogram	Agglomerative clustering - dendrogram Agglomerative clustering - dendrogram iaml hierarchical clustering distance clusters cluster points clustering threshold point dendrogram arc tree things space dataset decrease distances elbow drops function merge plot From Nigel Goddard 1 likes 2,455 plays 0 Licence Type Creative Commons - Attribution
When principal components fail duration 1 minute 51 seconds When principal components fail When principal components fail	When principal components fail When principal components fail iaml pca attribute linear thing variance covariance dimension projection component matrix sheet subspace subspaces mind variances deviation distances fact gazillion attributes From Nigel Goddard 1 likes 2,165 plays 0 Licence Type Creative Commons - Attribution
Why we maximize variance in PCA duration 2 minutes 59 seconds Why we maximize variance in PCA Why we maximize variance in PCA	Why we maximize variance in PCA Why we maximize variance in PCA iaml pca dimension points space variance projection distances point dimensions e. dimensionality step weight cases channel algorithms basis height colors dataset thing From Nigel Goddard 2 likes 3,188 plays 0 Licence Type Creative Commons - Attribution