Schedule for Spring 2004

Every Thursday from 4pm to 6pm at S&E study room

Schedule

Date Presenter Paper
4/9 Sheng-hong Organizational Meeting
4/15 Danke Xie Introduction to Artificial Neural Network
4/22 Danke Xie Introduction to Artificial Neural Network
  • PDF by Sheng-hong
4/29 Kuang-chih Lee Introduction to Bayesian Network

5/6 Kuang-chih Lee Bayesian Learning
  • A Tutorial on Hidden Markov Models PDF
  • An Introduction to Graphical Models PDF
  • Learning Bayes net structure from sparse data sets HTML
  • An Introduction to MCMC for Machine Learning PDF
5/13 Kuang-chih Lee PAC Learning, VC-dimension, Dimension Reduction & Embedding
5/20 Kai-Chieh Yang
Huei-ju Chen 		Support Vector Machine
Normalized Cut

Candidate Papers awaiting Volunteers