Event: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Machine Learning Summer School (MLSS), La Palma 2012 Machine Learning Summer School (MLSS), La Palma 2012

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MLSS 2012 - La Palma   

Machine Learning Summer School (MLSS), La Palma 2012

The school addresses the following topics: Learning Theory, Kernel Methods, Bayesian Machine learning, Monte Carlo Methods , Bayesian Nonparametrics, Optimization, Graphical Models, Information theory and Dimensionality Reduction.

Detailed information can be found here.
Categories
votesvotesvotesvotesvotes [syn]  15174 views, 4:27:20  
flagKernel MethodsKernel Methods
Bernhard Schölkopf Bernhard Schölkopf
votesvotesvotesvotesvotes [syn]  13643 views, 5:24:16  
flagDimensionality ReductionDimensionality Reduction
Neil D. Lawrence Neil D. Lawrence
comments1 comment 
votesvotesvotesvotesvotes [syn]  30627 views, 2:13:09  
flagWhat is Machine Learning?What is Machine Learning?
Neil D. Lawrence Neil D. Lawrence
comments52 comments 
votesvotesvotesvotesvotes [syn]  7193 views, 5:42:27  
flagDiffusions and Geodesic Flows on Manifolds: The Differential Geometry of Markov Chain Monte CarloDiffusions and Geodesic Flows on Manifolds: The Differential Geometry of ...
Mark Girolami Mark Girolami
votesvotesvotesvotesvotes [syn]  12447 views, 5:11:50  
flagOptimization: Theory and AlgorithmsOptimization: Theory and Algorithms
Robert Vanderbei Robert Vanderbei
votesvotesvotesvotesvotes [syn]  4182 views, 1:47:38  
flagKingman's Coalescent for Hierarchical RepresentationsKingman's Coalescent for Hierarchical Representations
Dilan Görür Dilan Görür
[syn]  4843 views, 1:35:21  
flagChannel Coding with LDPC CodesChannel Coding with LDPC Codes
Fernando Perez-Cruz Fernando Perez-Cruz
votesvotesvotesvotesvotes [syn]  18161 views, 2:26:14  
flagBayesian ModellingBayesian Modelling
Zoubin Ghahramani Zoubin Ghahramani
votesvotesvotesvotesvotes [syn]  25232 views, 3:24:27  
flagIntroduction to Bayesian NonparametricsIntroduction to Bayesian Nonparametrics
Peter Orbanz Peter Orbanz
comments1 comment 
votesvotesvotesvotesvotes [syn]  11309 views, 52:32  
flagDirichlet Process: Practical CourseDirichlet Process: Practical Course
Dilan Görür Dilan Görür
comments2 comments 
votesvotesvotesvotesvotes [syn]  8102 views, 1:16:16  
flagGraphical ModelsGraphical Models
Zoubin Ghahramani Zoubin Ghahramani
votesvotesvotesvotesvotes [syn]  14318 views, 1:27:44  
flagGaussian ProcessesGaussian Processes
John Cunningham John Cunningham
[syn]  8913 views, 38:31  
flagGaussian Process: Practical CourseGaussian Process: Practical Course
Dilan Görür, Zoubin Ghahramani Dilan Görür, Zoubin Ghahramani
comments1 comment 
[syn]  11647 views, 4:41:49  
flagConcentration inequalities in machine learningConcentration inequalities in machine learning
Gabor Lugosi Gabor Lugosi
[syn]  6139 views, 1:25:50  
flagGraph-based Semi-supervised LearningGraph-based Semi-supervised Learning
Zoubin Ghahramani Zoubin Ghahramani
comments2 comments 
votesvotesvotesvotesvotes [syn]  8679 views, 1:47:17  
flagNonparametric Bayesian ModellingNonparametric Bayesian Modelling
Zoubin Ghahramani Zoubin Ghahramani
[syn]  3829 views, 1:34:47  
flagProbabilistic decision-making, data analysis, and discovery in astronomyProbabilistic decision-making, data analysis, and discovery in astronomy
David W. Hogg David W. Hogg

Reviews and comments:

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Comment2 Kevin Taylor, October 26, 2020 at 9:21 a.m.:

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