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language: english
Publisher: MIT PRESS LTD, November of 2005 ‧
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Presents a comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. This book deals with the supervised-learning problem for both regression and classification, and includes algorithms. It also contains illustrative examples and exercises.

Gaussian Processes For Machine Learning

by Christopher K. I. (University Of Edinburgh) Williams e Carl Edward (University Of Cambridge) Rasmussen

Property Description
ISBN: 9780262182539
Publisher: MIT PRESS LTD
Release Date: November of 2005
Language: English
Cover: Hardcover
Pages: 272
Format: Book
Collection: Adaptive Computation And Machine Learning Series
Categories: Books in English > Science > Mathematics
EAN: 9780262182539