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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3711 views

Kernels on histograms through the transportation polytope
Feb 25, 2007
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4925 views

Splice form prediction using Machine Learning
Feb 25, 2007
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4824 views

Graphical Models, Variational Methods, and Message-Passing
Feb 25, 2007
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29945 views

Predictive methods for Text mining
Feb 25, 2007
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8604 views

Ranking by Stealing Human Cycles
Feb 25, 2007
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4702 views

Large Scale Ranking Problem: some theoretical and algorithmic issues
Feb 25, 2007
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6429 views

Agnostic Active Learning
Feb 25, 2007
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9863 views

Protein Subcellular Localization Prediction Based on Compartment-Specific Biolog...
Feb 25, 2007
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5745 views

Neighbourhood Components Analysis
Feb 25, 2007
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19722 views

Identifying Temporal Patterns and Key Players in Document Collections
Feb 25, 2007
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4751 views

Intel Research : User Activity based Adaptive Power Management (APM)
Feb 25, 2007
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4114 views

Facial expression recognition and emotion recognition from speech
Feb 25, 2007
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15052 views

Support Vector Machines
Feb 25, 2007
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165773 views

The stability of a good clustering
Feb 25, 2007
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6013 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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24160 views

Online Learning and Bregman Divergences
Feb 25, 2007
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11770 views

Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimensi...
Feb 25, 2007
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5423 views

Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Ker...
Jun 11, 2007
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6202 views

Unifying Divergence Minimization and Statistical Inference via Convex Duality
Feb 25, 2007
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5498 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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5657 views

Large-Margin Thresholded Ensembles for Ordinal Regression
Feb 25, 2007
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7216 views

L1-based relaxations for sparsity recovery and graphical model selection in the ...
Feb 25, 2007
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6286 views

Piecewise 1-Dim Self Organizing Map P1D-SOM
Feb 25, 2007
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3814 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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13392 views

A Bayesian Probability Calculus for Density Matrices
Feb 25, 2007
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7936 views

AdaBoost is Universally Consistent
Feb 25, 2007
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8261 views