Gaussian Processes for Machine Learning
$152.55
- Hardcover
272 pages
- Release Date
22 November 2005
Summary
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 l…
Book Details
| ISBN-13: | 9780262182539 |
|---|---|
| ISBN-10: | 026218253X |
| Series: | Adaptive Computation and Machine Learning series |
| Author: | Carl Edward Rasmussen, Christopher K.I. Williams |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 272 |
| Release Date: | 22 November 2005 |
| Weight: | 726g |
| Dimensions: | 254mm x 203mm x 25mm |
About The Author
Carl Edward Rasmussen
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, T bingen.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.
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