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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Hoofdauteur: | |
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Andere auteurs: | |
Formaat: | Elektronisch Hoofdstuk |
Taal: | Engels |
Gepubliceerd in: |
Cambridge
The MIT Press
2005
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Reeks: | Adaptive Computation and Machine Learning series
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Onderwerpen: | |
Online toegang: | DOAB: download the publication DOAB: description of the publication |
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