the entire directory only in Publications/Books

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• Bioinformatics: The machine learning approach - by P. Baldi and S. Brunak, MIT Press February 1998.
• Introduction to Machine Learning - By Nils J. Nilsson (downloadable draft)
• Machine Learning textbook - A textbook by Tom Mitchell, McGraw Hill, 1997.
• 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 disciplines.
• 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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