Reading assignments for CMPS 142 Winter 2007

posted  due         assignment
----------------------------------------------------------
1/4    1/7         chapter 1 of Marsland
1/4    ??          sections 1-3 of "An Introduction to Variable and Feature Selection" by Guyon and Elisseeff
1/4    ??         "The Discipline of Machine Learning" by Mitchell
1/12   1/16       Chapeters 2 and 3 of Marsland and backpropagation handout
---    ---	  Chapter 6 (decision trees)
1/25   1/30	  Chapter 8 (probability and learning)
2/4    2/9	  Chapter 7 (Ensemble learning)
2/4    2/9	  The Boosting Approach to Machine Learning: An overview (by Schapire)
		  see: http://www.cs.princeton.edu/~schapire/boost.html
2/11  2/16	  Chapter 5 (Support Vector Machines)