bookThe MIT Press eBooksNov 23, 2005Closed access

Gaussian Processes for Machine Learning

CECarl Edward RasmussenCKChristopher K. I. Williams

Max Planck Institute for Biological Cybernetics · Max Planck Society

Indexed incrossref

Abstract

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.

Citation impact

10,487
total citations
FWCI
60.09
Percentile
100%
References
180
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Machine learning
  • Artificial intelligence
  • Computer science
  • Online machine learning
  • Gaussian process
  • Probabilistic logic
  • Relevance vector machine
  • Support vector machine
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