Read excerpts from this book written by Nello Cristianini and John Shawe-Taylor, or place an order.

Offers a blurb, table of contents, and ordering information for this book written by Pierre Baldi and Soren Brunak.

Jacob Schwartz explores the developing relationship between neuroscience and artificial intelligence, based on new theories of connectionism.

Steven Salzberg, David Searls, and Simon Kasif write this book on machine learning approaches in molecular biology. Find a table of contents and links to researchers.

Get membership information and access its publications on knowledge and data engineering as well as pattern analysis and machine intelligence.

Find a draft of a textbook on machine learning that pursues theory and practice. Chapters are available in downloadable PostScript format.

Introduction to the theory of computational learning offers a bibliography and discusses machine self-reliance.

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Browse a data mining and knowledge discovery reference. Includes a newsletter, membership details, jobs, meetings and courses.

Lists a collection of papers available online that were originally collected for a seminar taught by Rik Belew and Jude Shavlik.

Textbook provides a single source introduction to the field of machine learning. With detailed table of contents in PostScript format and book reviews.

Book based on the ESPRIT project StatLog by Michie, Spiegelhalter, and Taylor is freely available in PostScript and pdf format.

Get details on this textbook that provides an introduction to the field of learning from experimental data and soft computing.