
Gaussian Processes for Machine Learning - Hardcover
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Availability:Out of StockContributor:Carl Edward Rasmussen, Christopher K. I. WilliamsSeries:Adaptive Computation and Machine LearningAudience:Young AdultPublish date:2005-11-23Pages:272
Languages:EnglishPublisher:MIT PressISBN-13:9780262182539ISBN-10:026218253XUPC:9780262182539Book Category:ComputersBook Subcategory:Artificial Intelligence, Machine Theory, Computer ScienceSize:10.22 x 8.26 x 0.73 inchesWeight:1.65Product ID:SCDVXHEBPK
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Languages:EnglishPublisher:MIT PressISBN-13:9780262182539ISBN-10:026218253XUPC:9780262182539Book Category:ComputersBook Subcategory:Artificial Intelligence, Machine Theory, Computer ScienceSize:10.22 x 8.26 x 0.73 inchesWeight:1.65Product ID:SCDVXHEBPK
Carl Edward Rasmussen is a Lecturer at the Department of Engineering, University of Cambridge, and Adjunct Research Scientist at the Max Planck Institute for Biological Cybernetics, Tübingen. Christopher K. I. Williams is Professor of Machine Learning and Director of the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh.
Publisher: MIT Press
Contributor(s)
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