4005-759-01: Pattern Recognition (RIT CS, 20101)

RIT Department of Computer Science
Pattern Recognition (Topics in Artificial Intelligence) Fall 2010
4005-759-01 (Lecture Room: 70-3500 (DPRL lab)), Instructor: Richard Zanibbi
Office hours: 10-11:00am Tues. and Thurs., 1-3:00pm Fridays (70-3551, Golisano College)

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Week 10


Schedule of Topics and Assigned Readings

Week Topics Reading
1 Overview, Evaluation, Bayes' Decision Theory Kuncheva, Ch. 1
2 Linear Classification, Nearest Neighbor Classification Kuncheva, Ch. 2 (to page 68)
3 Decision Trees Kuncheva Ch 2.4, DHS Ch. 8.1-8.3
4 Neural Networks Kuncheva Ch. 2.5, DHS Ch. 6.8 (Improving Backpropagation), Bishop (2006) Ch. 5.5 (Regularization in NNets)
5 Support Vector Machines Bishop 6.2, 7.1 - 7.1.3, DHS 5.11
6 Classifier Combination Kuncheva, Chs. 3, 4.1-4.6 (Voting), 6 (Selection/Gating), 7 (Bagging and Boosting)
7 Feature Selection, PCA Theodoridis Ch. 5, Ch. 6.1-6.3
8 Clustering (k-Means, Hierarchical, etc.) DHS 10.4.3, 10.6
9 Structural/Syntactic PR DHS 3.10, DHS 8.6
10 Paper Presentations and Summary
11 Final Research Paper Due, Friday 9am

Last updated $Date: 2010/11/17 21:03:54 $