RIT Department of Computer Science
Pattern Recognition (Topics in Artificial Intelligence) Fall 2010 | ![]() |
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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) |
Home --- Syllabus --- Slides --- Assignments --- Programming --- Resources --- [ MyCourses ]
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 |