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Online Public Access Catalogue

题名/责任者:

Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.

出版发行项:

Cambridge, Mass. : MIT Press, 2016

ISBN:

026218253X

ISBN:

9780262182539

ISBN:

9780262256834

其它标准号:

9780262182539

载体形态项:

xviii, 248 pages : illustrations ; 26 cm.

丛编说明:

Adaptive computation and machine learning

个人责任者:

Rasmussen, Carl Edward.

附加个人名称:

Williams, Christopher K. I.

论题主题:

Gaussian processes-Data processing.

论题主题:

Machine learning-Mathematical models.

中图法分类号:

O211.6

书目附注:

Includes bibliographical references (pages 223-238) and indexes.

摘要附注:

"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."--Jacket.

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