Readings for CS 2750 Machine
Readings available in the electronic form:
Machine learning and data mining overview
Machine learning and data mining. Communications of the ACM,
Support vector machines
C. J.C. Burgess. A tutorial
on support vector machines for pattern recognition. Machine
Learning journal, 1998.
Learning Bayesian belief networks
D. Heckerman A
tutorial on learning with Bayesian belief networks. (sections 1-5,
7-13) MSR-TR-95-06, 1996.
A.P. Dempster, N.M. Laird, D.B. Rubin. Maximum
likelihood from incomplete data via the EM algorithm. Journal of Royal
statistical society, vol. 39, issue 1, pp. 1-28, 1977
Mixture of experts:
Michael Jordan. Hierarchical
mixtures of experts and the EM algorithm. Neural Computation,
6, pp. 181-214, 1994.
Ensamble methods. Bagging and
L. Breiman. Arcing
Y. Freund, R. Schapire. Experiments
with a New Boosting algorithm. In the Proceedings of the 13-th International
Conference on Machine Learning, 1996.
R.E. Schapire, Y. Freund, P. Barlett, W.S. Lee. Boosting
the Margin: A new explanation for the effectiveness of voting methods.
The Annals of Statistics, vol.26, pp. 1651-1686, 1998.
- Reinforcement Learning
L.P. Kaelbling, M.L. Littman, A. W. Moore. Reinforcement
learning: a survey. Journal of Artificial Intelligence Research,