Top > Computers > Artificial Intelligence > Machine Learning > Publications > Books

» Bioinformatics: The machine learning approach - by P. Baldi and S. Brunak, MIT Press February 1998.

» 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.

» Introduction to Machine Learning - By Nils J. Nilsson (downloadable draft)

» 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 to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these discplines.

» Machine Learning textbook - A textbook by Tom Mitchell, McGraw Hill, 1997.

» Reinforcement Learning: An Introduction - By Sutton and Barto, MIT Press, 1998.

» 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.

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