Classification - Supplemental material
slides
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4 slides per page
Useful Links:
Machine learning class - CMU
: Look at their slides about logistic regression, Naive Bayes, SVM and decision trees.
Machine learning article - Wikipedia
: Contains pointers to individual articles (like SVM), as well as usuful software resources.
Pattern Classification (2nd edition)
by Duda, Hart and Stork is a good general reference for most algorithms covered in this lecture.
An extensive empirical comparisons of supervised learning algorithms
- Rich Caruana, Alexandru Niculescu-Mizil, ICML 06.
SVMs
Good tutorial paper:
Support Vector Machines: Hype or Hallelujah?
- Kristin Bennet, Colin Campbell, SIGKDD Explorations, 2,2, 2000, 1-13
Andrew Moore's slides on SVM
A practical guide to SVM classification
- From the authors of
libSVM
Decision Trees
Tom Mitchell's slides on decision trees
Breiman's website on Random Forests
Some applications mentioned in class
Branch prediction using perceptron in computer architecture:
paper
.
Application of random forest in language modeling