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Gaussian Processes for Machine Learning

Carl Edward Rasmussen; Christopher K. I. Williams · The MIT Press eBooks · 2005

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Author / responsible party
Carl Edward Rasmussen; Christopher K. I. Williams
Publisher
The MIT Press eBooks
Year
2005
Language
English

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

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APA 7

Rasmussen, C. E. & Williams, C. K. I. (2005). Gaussian Processes for Machine Learning. The MIT Press eBooks. https://doi.org/10.7551/mitpress/3206.001.0001

MLA

Rasmussen, Carl Edward, and Christopher K. I. Williams. Gaussian Processes for Machine Learning. The MIT Press eBooks, 2005. https://doi.org/10.7551/mitpress/3206.001.0001.

Chicago

Rasmussen, Carl Edward and Christopher K. I. Williams. 2005. Gaussian Processes for Machine Learning. The MIT Press eBooks. https://doi.org/10.7551/mitpress/3206.001.0001.

Harvard

Rasmussen, C. E. and Williams, C. K. I. 2005, Gaussian Processes for Machine Learning, The MIT Press eBooks, available at: https://doi.org/10.7551/mitpress/3206.001.0001 [Accessed 6 Aug. 2026].

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Resource details

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Title
Gaussian Processes for Machine Learning
Author / contributors
Carl Edward Rasmussen; Christopher K. I. Williams
Publisher
The MIT Press eBooks
Publication year
2005
Language
English

Subjects

Explore related resources through these subjects.

Machine learning; Artificial intelligence; Computer science; Online machine learning; Gaussian process; Probabilistic logic; Relevance vector machine; Support vector machine; Kernel method; Artificial neural network; Gaussian; Quantum mechanics
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