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Bioinformatics: The machine learning approach
by P. Baldi and S. Brunak, MIT Press February 1998.
http://www.cbs.dtu.dk/mitbook/mitbook.html
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Support Vector Machines, Neural Networks and Fuzzy Logic Models
A textbook that provides an introduction to the field of learning from experimental data and soft computing.
http://support-vector.ws
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Machine Learning, Neural and Statistical Classification
This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction t
http://www.amsta.leeds.ac.uk/~charles/statlog/
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Machine Learning textbook
A textbook by Tom Mitchell, McGraw Hill, 1997.
http://www.cs.cmu.edu/~tom/mlbook.html
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Reinforcement Learning: An Introduction
By Sutton and Barto, MIT Press, 1998.
http://www-anw.cs.umass.edu/~rich/book/the-book.html
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Computational Methods in Molecular Biology
Edited by S. Salzberg, D. Searls, and S. Kasif. Elsevier Science, 1998. The book is largely devoted to machine learning approaches to molecular biology. Includes an online appendix.
http://www.cs.jhu.edu/~salzberg/compbio-book.html
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Introduction to Machine Learning
By Nils J. Nilsson (downloadable draft)
http://ai.stanford.edu/people/nilsson/mlbook.html
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