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
Triple jump acceleration for the EM algorithm and its extrapolation-based varian...
Feb 25, 2007
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3709 views
Kernels on histograms through the transportation polytope
Feb 25, 2007
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4924 views
Splice form prediction using Machine Learning
Feb 25, 2007
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4822 views
Graphical Models, Variational Methods, and Message-Passing
Feb 25, 2007
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29942 views
Predictive methods for Text mining
Feb 25, 2007
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8602 views
Ranking by Stealing Human Cycles
Feb 25, 2007
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4701 views
Large Scale Ranking Problem: some theoretical and algorithmic issues
Feb 25, 2007
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6428 views
Agnostic Active Learning
Feb 25, 2007
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9831 views
Protein Subcellular Localization Prediction Based on Compartment-Specific Biolog...
Feb 25, 2007
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5743 views
Neighbourhood Components Analysis
Feb 25, 2007
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19715 views
Identifying Temporal Patterns and Key Players in Document Collections
Feb 25, 2007
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4740 views
Intel Research : User Activity based Adaptive Power Management (APM)
Feb 25, 2007
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4110 views
Facial expression recognition and emotion recognition from speech
Feb 25, 2007
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15049 views
Support Vector Machines
Feb 25, 2007
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165726 views
The stability of a good clustering
Feb 25, 2007
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6010 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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24157 views
Online Learning and Bregman Divergences
Feb 25, 2007
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11769 views
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimensi...
Feb 25, 2007
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5419 views
Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Ker...
Jun 11, 2007
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6200 views
Unifying Divergence Minimization and Statistical Inference via Convex Duality
Feb 25, 2007
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5497 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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5650 views
Large-Margin Thresholded Ensembles for Ordinal Regression
Feb 25, 2007
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7214 views
L1-based relaxations for sparsity recovery and graphical model selection in the ...
Feb 25, 2007
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6283 views
Piecewise 1-Dim Self Organizing Map P1D-SOM
Feb 25, 2007
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3813 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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13388 views
A Bayesian Probability Calculus for Density Matrices
Feb 25, 2007
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7934 views
AdaBoost is Universally Consistent
Feb 25, 2007
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8259 views