6.867 Machine Learning (Fall 2003)
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Matlab
Fall 2002
Fall 2001
6.867 References
References
Optional papers (also listed with lectures):
C. Burges. A Tutorial on Support Vector Machines for Pattern Recognition. Knowledge Discovery and Data Mining, 2(2), 1998.
postscript
R. Schapire, "A brief introduction to boosting", In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999.
postscript
J. Friedman, T. Hastie, and R. Tibshirani, "Additive Logistic Regression: a Statistical View of Boosting",
postscript
Books:
Jordan et al., "An introduction to Graphical Models", draft version available electronically
here
(MIT only access)
R. Duda, P. Hart, and D. Stork. "Pattern Classification", 2nd edition, Wiley Interscience, 2001.
C. M. Bishop. "Neural Networks for Pattern Recognition", Oxford University Press, 1995.
T. Mitchell, "Machine Learning". McGraw Hill, 1997.
T. Hastie, R. Tibshirani and J. Friedman, "Elements of Statistical Learning: Data Mining, Inference and Prediction". Springer-Verlag, 2001.
T. Cover and J. Thomas. "Elements of Information theory", Wiley Interscience, 1991.