Tutorials on Machine Learning (Tom Dietterich)

Over the years, I have written several review articles, encyclopedia articles, and other introductory information on machine learning. Here is a list of relevant publications.

Dietterich, T. G. (2002). Ensemble Learning. In The Handbook of Brain Theory and Neural Networks, Second edition, (M.A. Arbib, Ed.), (pp. 405-408). Cambridge, MA: The MIT Press. Postscript Preprint.
Dietterich, T. G. (2003). Machine Learning In Nature Encyclopedia of Cognitive Science, London: Macmillan, 2003. Postscript Preprint. PDF version.
Dietterich, T. G. (2002). Machine Learning for Sequential Data: A Review. In T. Caelli (Ed.) Lecture Notes in Computer Science. Springer-Verlag. Postscript preprint. PDF preprint.
Dietterich, T. G. (2000). Ensemble Methods in Machine Learning. J. Kittler and F. Roli (Ed.) First International Workshop on Multiple Classifier Systems, Lecture Notes in Computer Science (pp. 1-15). New York: Springer Verlag. PDF preprint
Dietterich, T. G., (1999). Hierarchical Reinforcement Learning. Tutorial at the International Conference on Machine Learning. Postscript slides.
Dietterich, T. G. (1999). Machine Learning. In Rob Wilson and Frank Keil (Eds.) The MIT Encyclopedia of the Cognitive Sciences, MIT Press.
Dietterich, T. G. (1998). Machine Learning. In David Hemmendinger, Anthony Ralston and Edwin Reilly (Eds.), The Encyclopedia of Computer Science, Fourth Edition, Thomson Computer Press.
Dietterich, T. G., (1997). Machine Learning Research: Four Current Directions AI Magazine. 18 (4), 97-136. Postscript preprint.
Dietterich, T. G. (1997). Fundamental Experimental Research in Machine Learning. A section of the document Basic Topics in Experimental Computer Science edited by John McCarthy. HTML version or gzipped postscript version.
Dietterich, T. G. (1995) Overfitting and under-computing in machine learning. Computing Surveys, 27(3), 326-327. Postscript preprint
Dietterich, T. G. (1991) Knowledge compilation: Bridging the gap between specification and implementation. IEEE Expert, 6 (2) 80--82. Postscript preprint.
Shavlik, J. and Dietterich, T. G. (1990). Readings in Machine Learning. Morgan Kaufmann Publishers, San Francisco, CA. Introductory Article and Contents. Order from Morgan Kaufmann.
Dietterich, T. G. (1990). Machine Learning. Annual Review of Computer Science, 4: 255-306. Postscript preprint with no figures.
Dietterich, T. G., London, R. L., Clarkson, K., and Dromey, G. (1982). Learning and inductive inference. Chapter XIV in Cohen, P. R., and Feigenbaum, E. A., The Handbook of Artificial Intelligence, Vol. III, 323-512, Los Altos, CA: William Kaufmann.