Machine Learning Summer School (MLSS), Taipei 2006

Machine Learning Summer School (MLSS), Taipei 2006

31 Videos · Jul 23, 2006

About

The two-week summer school program consists of about 40+ hours of lectures from 7/24 to 8/4. The late afternoon sessions will provide a chance for the participants to discuss the latest research problems with the invited speakers. Prior to the summer school, the National Taiwan University of Science and Technology will offer a month-long machine learning summer course for graduate credits. You may choose part of them that fit your need or attend everything if you are sufficiently energetic.

Videos

Lectures

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36:31

Triple jump acceleration for the EM algorithm and its extrapolation-based varian...

Han-Shen Huang

Feb 25, 2007

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3711 views

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19:41

Kernels on histograms through the transportation polytope

Marco Cuturi

Feb 25, 2007

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4925 views

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39:02

Splice form prediction using Machine Learning

Gunnar Rätsch

Feb 25, 2007

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4824 views

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04:35:51

Graphical Models, Variational Methods, and Message-Passing

Martin J. Wainwright

Feb 25, 2007

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29945 views

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02:23:23

Predictive methods for Text mining

Tong Zhang

Feb 25, 2007

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8604 views

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18:37

Ranking by Stealing Human Cycles

Tingfan Wu

Feb 25, 2007

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4702 views

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33:47

Large Scale Ranking Problem: some theoretical and algorithmic issues

Tong Zhang

Feb 25, 2007

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6429 views

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36:48

Agnostic Active Learning

John Langford

Feb 25, 2007

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9863 views

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35:28

Protein Subcellular Localization Prediction Based on Compartment-Specific Biolog...

Chia-Yu Su

Feb 25, 2007

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5745 views

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32:18

Neighbourhood Components Analysis

Sam Roweis

Feb 25, 2007

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19722 views

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13:02

Identifying Temporal Patterns and Key Players in Document Collections

Benyah Shaparenko

Feb 25, 2007

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4751 views

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15:07

Intel Research : User Activity based Adaptive Power Management (APM)

Nilesh Shah

Feb 25, 2007

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4114 views

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27:50

Facial expression recognition and emotion recognition from speech

Dragos Datcu

Feb 25, 2007

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15052 views

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03:54:31

Support Vector Machines

Chih-Jen Lin

Feb 25, 2007

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165773 views

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33:18

The stability of a good clustering

Marina Meila

Feb 25, 2007

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6013 views

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Kernel Methods in Computational Biology

Jean-Philippe Vert

Feb 25, 2007

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14352 views

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Introduction to Boosting

Gunnar Rätsch

Feb 25, 2007

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15504 views

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03:39:05

Clustering - An overview

Marina Meila

Feb 25, 2007

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24160 views

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03:32:45

Online Learning and Bregman Divergences

Manfred K. Warmuth

Feb 25, 2007

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11770 views

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28:53

Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimensi...

Manfred K. Warmuth

Feb 25, 2007

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5423 views

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36:10

Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Ker...

Jean-Philippe Vert

Jun 11, 2007

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6202 views

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32:24

Unifying Divergence Minimization and Statistical Inference via Convex Duality

Alex Smola

Feb 25, 2007

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5498 views

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Machine Learning Reductions

John Langford

Feb 25, 2007

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7698 views

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29:18

Ranking Individuals by Group Comparisons

Chih-Jen Lin

Feb 25, 2007

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5657 views

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17:26

Large-Margin Thresholded Ensembles for Ordinal Regression

Hsuan-Tien Lin

Feb 25, 2007

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7216 views

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35:30

L1-based relaxations for sparsity recovery and graphical model selection in the ...

Martin J. Wainwright

Feb 25, 2007

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6286 views

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22:06

Piecewise 1-Dim Self Organizing Map P1D-SOM

Alaa Sagheer

Feb 25, 2007

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3814 views

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Pattern Classification and Large Margin Classifiers

Peter L. Bartlett

Feb 25, 2007

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9535 views

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02:15:42

Reinforcement Learning Theory

John Langford

Feb 25, 2007

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13392 views

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38:04

A Bayesian Probability Calculus for Density Matrices

Manfred K. Warmuth

Feb 25, 2007

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7936 views

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50:05

AdaBoost is Universally Consistent

Peter L. Bartlett

Feb 25, 2007

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8261 views