Gaussian Processes for Machine Learning
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 incr...
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Main Author: | Rasmussen, Carl Edward (auth) |
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Other Authors: | Williams, Christopher K. I. (auth) |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Cambridge
The MIT Press
2005
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Series: | Adaptive Computation and Machine Learning series
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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