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

Triple jump acceleration for the EM algorithm and its extrapolation-based varian...
Feb 25, 2007
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3706 views

Kernels on histograms through the transportation polytope
Feb 25, 2007
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4916 views

Splice form prediction using Machine Learning
Feb 25, 2007
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4812 views

Graphical Models, Variational Methods, and Message-Passing
Feb 25, 2007
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29924 views

Predictive methods for Text mining
Feb 25, 2007
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8594 views

Ranking by Stealing Human Cycles
Feb 25, 2007
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4690 views

Large Scale Ranking Problem: some theoretical and algorithmic issues
Feb 25, 2007
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6424 views

Agnostic Active Learning
Feb 25, 2007
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9818 views

Protein Subcellular Localization Prediction Based on Compartment-Specific Biolog...
Feb 25, 2007
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5732 views

Neighbourhood Components Analysis
Feb 25, 2007
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19683 views

Identifying Temporal Patterns and Key Players in Document Collections
Feb 25, 2007
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4732 views

Intel Research : User Activity based Adaptive Power Management (APM)
Feb 25, 2007
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4100 views

Facial expression recognition and emotion recognition from speech
Feb 25, 2007
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15034 views

Support Vector Machines
Feb 25, 2007
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165663 views

The stability of a good clustering
Feb 25, 2007
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6004 views
Kernel Methods in Computational Biology
Feb 25, 2007
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14352 views
Introduction to Boosting
Feb 25, 2007
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15504 views

Clustering - An overview
Feb 25, 2007
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24145 views

Online Learning and Bregman Divergences
Feb 25, 2007
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11753 views

Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimensi...
Feb 25, 2007
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5411 views

Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Ker...
Jun 11, 2007
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6192 views

Unifying Divergence Minimization and Statistical Inference via Convex Duality
Feb 25, 2007
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5487 views
Machine Learning Reductions
Feb 25, 2007
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7698 views

Ranking Individuals by Group Comparisons
Feb 25, 2007
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5637 views

Large-Margin Thresholded Ensembles for Ordinal Regression
Feb 25, 2007
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7192 views

L1-based relaxations for sparsity recovery and graphical model selection in the ...
Feb 25, 2007
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6277 views

Piecewise 1-Dim Self Organizing Map P1D-SOM
Feb 25, 2007
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3808 views
Pattern Classification and Large Margin Classifiers
Feb 25, 2007
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9535 views

Reinforcement Learning Theory
Feb 25, 2007
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13382 views

A Bayesian Probability Calculus for Density Matrices
Feb 25, 2007
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7924 views

AdaBoost is Universally Consistent
Feb 25, 2007
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8253 views