KI2 Course material
Lecture slides
- Introduction: ppt
- Planning: pdf
- Structural pattern recognition: ppt
- Bayesian learning: pdf, ppt
- Computational learning theory: ppt, ppt
- Partially observable Markov decision process: ppt
- Hidden Markov models: pdf
- Heterogeneous-information integration and Borda:
ppt
- Decision Tree Learning: pdf
- Grammar Inference: ppt
- Article, Guyon: pdf
Literature for the exam
Assignments
- Structural pattern recognition: pdf
- JAVA applets: url
- Spam filtering using naive bayes: ppt
- Decision tree learning: html
Advised reading
- Document structure analysis: pdf
- Hidden Markov models: pdf
- Decision Tree Learning: pdf
Software
- JAVA class for bayesian spam filter: Bayespam.java
- JAVA localpackage zip
- old email data zip
- new email data zip
- Spamfilter executable (works only in linux-shell) exe