Monson H. Hayes

Aug 31 Introduction to Learning

Sep 07 Classifiers Based on Bayes Decision Theory

Sep 14 Density Estimation

Sep 14 Read Appendix C (The E-M Algorithm) available here.
Sep 21 The Perceptron Algorithm

Sep 28 Statistical Learning Theory

Oct 05 Theory of Generalization

Oct 12 Nonlinear Classification and the Kernel Trick

Oct 19 Support Vector Machines

Oct 26 Consistency, Nearest Neighbor Algorithms, Validation

These notes are to be used only for this course and are not to be distributed or reused for any other purpose.