Videolectures category: Statistical Learning

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Lectures


[syn] 3998 views, 05:02:23

Statistical Learning Theory

John Shawe-Taylor


[syn] 1864 views, 05:18:05

Statistical Learning Theory

Olivier Bousquet

2 comments

[syn] 1183 views, 03:32:21

Introduction to Learning Theory

Olivier Bousquet


752 views, 01:03:44

Kernel Methods in Statistical Learning

John Shawe-Taylor


[syn] 685 views, 03:35:48

Practical Statistical Relational Learning

Pedro Domingos

[syn] 475 views, 02:25:53

Introduction to Statistical Machine Learning

Marcus Hutter

3 comments


[syn] 442 views, 02:54:31

Tutorial on Statistical Machine Learning with Applications to Multimodal Processing

Samy Bengio

[syn] 396 views, 04:54:06

Statistical learning theory

Olivier Bousquet

1 comment

[syn] 260 views, 02:30:56

Stochastic Learning

Léon Bottou

243 views, 00:29:33

Kernel Methods in Statistical Learning

Nello Cristianini


[syn] 227 views, 00:10:52

SRL - The next decade

Lise Getoor

[syn] 209 views, 00:20:52

Maximum Likelihood Estimation for a Gene Regulatory Network Defined by Differential Equations

Nadia Lalam

173 views, 01:28:35

On-line Statistical Learning

Nicolò Cesa-Bianchi


151 views, 03:11:30

An Introduction to Statistical Relational Learning

Lise Getoor

[syn] 151 views, 00:19:24

Trust Region Newton Methods for Large-Scale Logistic Regression

Chin Jen Lin

invited talk
[syn] 144 views, 00:43:14

Benchmarking parameter estimation and reverse engineering strategies

Pedro Mendes

134 views, 00:22:42

Learning the Kernel Matrix in Discriminant Analysis via Quadratically Constrained Quadratic Programming

Jieping Ye

122 views, 00:21:53

Using features of probability distributions to achieve covariate shift

Alexander J. Smola

[syn] 122 views, 02:43:58

Advanced Statistical Learning Theory

Olivier Bousquet

invited talk
[syn] 122 views, 00:52:00

Probabilistic Inference for Graph Classification

Koji Tsuda


[syn] 121 views, 01:33:44

Foundations of Statistical Learning Theory : Empirical Infe-rence in high-dimention spaces

Léon Bottou, Vladimir Vapnik

119 views, 00:09:55

Learning when test and Trainig Imputs have different distributions

Joaquin Quiñonero Candela

117 views, 01:31:01

Machine Learning Flavor of Random Matrices

Dimitris Achlioptas

invited speaker
[syn] 112 views, 00:46:57

Infer.NET - Practical Implementation Issues and a Comparison of Approximation Techniques

John Winn

108 views, 05:58:29

Statistical Learning Theory and Empirical Processes

Shahar Mendelson

[syn] 103 views, 01:12:25

Cluster Variation Method: from statistical mechanics to message passing algorithms

Alessandro Pelizzola

90 views, 00:03:29

Introduction to the Workshop on Multiple Simultaneous Hypothesis Testing

Michele Sebag

invited talk
83 views, 01:12:44

Structural Prediction in Statistical Alignment and Translation

Ben Taskar

[syn] 75 views, 03:03:31

How to predict with Bayes, MDL, and Experts

Marcus Hutter

[syn] 70 views, 00:50:05

Learning Nonparametric Priors from Multiple Tasks

Shipeng Yu

[syn] 70 views, 00:20:39

Unsupervised Estimation for Noisy-Channel Models

Markos Mylonakis

[syn] 67 views, 00:19:51

A statistical learning approach to subspace identification of dynamical systems

Tijl De Bie

invited talk
65 views, 00:28:50

Can Adaptive Regularization Help?

Matthias Hein


[syn] 63 views, 00:28:38

Probabilistic inference methods in robotics-filling the gap between high-level reasoning and low-level motion control

Marc Toussaint

[syn] 53 views, 00:56:58

Statistical Relational Learning - Part 2

Lise Getoor

[syn] 51 views, 03:10:51

MarkusSparse Grid Methods

Markus Hegland

47 views, 00:22:35

A Divergence Prior for Adaptive Learning.

Xiao Li

20 views, 01:04:22

Tractable Inference for Probabilistic Models by Free Energy Approximations

Manfred Opper