Jul 23, 2006 
31 videos 
Machine Learning Summer School (MLSS), Taipei 2006
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.
Lectures
Triple jump acceleration for the EM algorithm and its extrapolation-based varian...
Feb 25, 2007 3719 views
Kernels on histograms through the transportation polytope
Feb 25, 2007 4934 views
Splice form prediction using Machine Learning
Feb 25, 2007 4832 views
Graphical Models, Variational Methods, and Message-Passing
Feb 25, 2007 29958 views
Predictive methods for Text mining
Feb 25, 2007 8615 views
Ranking by Stealing Human Cycles
Feb 25, 2007 4713 views
Large Scale Ranking Problem: some theoretical and algorithmic issues
Feb 25, 2007 6438 views
Agnostic Active Learning
Feb 25, 2007 9874 views
Protein Subcellular Localization Prediction Based on Compartment-Specific Biolog...
Feb 25, 2007 5761 views
Neighbourhood Components Analysis
Feb 25, 2007 19757 views
Identifying Temporal Patterns and Key Players in Document Collections
Feb 25, 2007 4763 views
Intel Research : User Activity based Adaptive Power Management (APM)
Feb 25, 2007 4137 views
Facial expression recognition and emotion recognition from speech
Feb 25, 2007 15072 views
Support Vector Machines
Feb 25, 2007 165845 views
The stability of a good clustering
Feb 25, 2007 6021 views
Kernel Methods in Computational Biology
Feb 25, 2007 14352 views
Introduction to Boosting
Feb 25, 2007 15504 views
Clustering - An overview
Feb 25, 2007 24175 views
Online Learning and Bregman Divergences
Feb 25, 2007 11786 views
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimensi...
Feb 25, 2007 5434 views
Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Ker...
Jun 11, 2007 6208 views
Unifying Divergence Minimization and Statistical Inference via Convex Duality
Feb 25, 2007 5508 views
Machine Learning Reductions
Feb 25, 2007 7698 views
Ranking Individuals by Group Comparisons
Feb 25, 2007 5669 views
Large-Margin Thresholded Ensembles for Ordinal Regression
Feb 25, 2007 7227 views
L1-based relaxations for sparsity recovery and graphical model selection in the ...
Feb 25, 2007 6303 views
Piecewise 1-Dim Self Organizing Map P1D-SOM
Feb 25, 2007 3822 views
Pattern Classification and Large Margin Classifiers
Feb 25, 2007 9535 views
Reinforcement Learning Theory
Feb 25, 2007 13407 views
A Bayesian Probability Calculus for Density Matrices
Feb 25, 2007 7963 views
AdaBoost is Universally Consistent
Feb 25, 2007 8274 views