Williams christopher k i (21 resultados)

Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: New. pp. xviii + 248.

Condición: New.

Hardcover. Condición: New. Brand new. Excellent customer service.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New.

Hardback. Condición: New.

Condición: New. pp. xviii + 248 Illus.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: New.

Condición: New. pp. xviii + 248.

Hardcover. Condición: Brand New. 2448 pages. 10.00x7.00x1.00 inches. In Stock.

Hardcover, 248 pages. Condición: Good. Ninth Printing. Ninth Printing. No DJ. Gilding on outer spine. Scuffing and minor soiling to boards. Bumping to outer spine and boards. Light soiling to text block. Pages are clean and appear to be free of writing and highlighting. Binding is tight.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Buch. Condición: Neu. Neuware - A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.…

Hardback. Condición: New.

hardcover. Condición: New. In shrink wrap. Looks like an interesting title.

Hardback. Condición: New.

paperback. Condición: New. Paperback Pages. Number: 344 Language: Simplified Chinese Publisher: Northern Literature and Art Publishing House; 1st edition (December 5. 2011). Global Evidence of the most effective natural pregnancy Law Description: The U.S. fertility experts. medical Dr. Kerry Christopher William classics latest revision. 14 questions each woman before pregnancy concern. Covering the impact of dietary supplements. contraceptive method. the most accurate weight. excessive movement. the rhythm of misdiagno.…