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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4927 views

Splice form prediction using Machine Learning
Feb 25, 2007
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4830 views

Graphical Models, Variational Methods, and Message-Passing
Feb 25, 2007
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29950 views

Predictive methods for Text mining
Feb 25, 2007
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8611 views

Ranking by Stealing Human Cycles
Feb 25, 2007
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4709 views

Large Scale Ranking Problem: some theoretical and algorithmic issues
Feb 25, 2007
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6430 views

Agnostic Active Learning
Feb 25, 2007
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9868 views

Protein Subcellular Localization Prediction Based on Compartment-Specific Biolog...
Feb 25, 2007
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5752 views

Neighbourhood Components Analysis
Feb 25, 2007
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19736 views

Identifying Temporal Patterns and Key Players in Document Collections
Feb 25, 2007
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4754 views

Intel Research : User Activity based Adaptive Power Management (APM)
Feb 25, 2007
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4122 views

Facial expression recognition and emotion recognition from speech
Feb 25, 2007
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15063 views

Support Vector Machines
Feb 25, 2007
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165806 views

The stability of a good clustering
Feb 25, 2007
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6018 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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24167 views

Online Learning and Bregman Divergences
Feb 25, 2007
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11778 views

Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimensi...
Feb 25, 2007
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5429 views

Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Ker...
Jun 11, 2007
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6205 views

Unifying Divergence Minimization and Statistical Inference via Convex Duality
Feb 25, 2007
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5501 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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5662 views

Large-Margin Thresholded Ensembles for Ordinal Regression
Feb 25, 2007
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7218 views

L1-based relaxations for sparsity recovery and graphical model selection in the ...
Feb 25, 2007
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6291 views

Piecewise 1-Dim Self Organizing Map P1D-SOM
Feb 25, 2007
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3817 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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13397 views

A Bayesian Probability Calculus for Density Matrices
Feb 25, 2007
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7947 views

AdaBoost is Universally Consistent
Feb 25, 2007
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8265 views