Search The Directory The Web for Home > Computers > Artificial Intelligence > Machine Learning > Publications > Books New! Submit a site   whatUseek Collection Sites (submit a site ):   Give your site great placement in this category in as little as two business days!     whatUseek Directory Site Listings:   An Introduction to Support Vector Machines - First comprehensive introductory book to the field of Support Vector Machines, a novel machine learning algorithm.   Bioinformatics: The machine learning approach - by P. Baldi and S. Brunak, MIT Press February 1998.   Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. - by R. Durbin, S.R. Eddy, A. Krogh, G.J. Mitchison. Focus is mainly on machine learning methods for alignment, phylogeny, and RNA structure analysis.   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. The site includes an online appendix.   Graphical Models for Machine Learning and Digital Communication - by Brendan J. Frey, MIT Press, 1998. Site includes table of contents and software.   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 discplines.   Reinforcement Learning: An Introduction - by Sutton & Barto, MIT Press, 1998.   Support Vector Machines, Neural Networks and Fuzzy Logic Models - A textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing. Help build the largest human-edited directory on the web.   Submit a Site - Open Directory Project - Become an Editor

About   Help   Content Filter   Terms   Privacy Policy © 2018 whatUseek