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Advanced Lectures on Machine Learning
Gaussian Processes in Machine Learning
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Author(s):
Carl Edward Rasmussen
Publication date
(Print):
2004
Publisher:
Springer Berlin Heidelberg
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Annual Reviews AI, Machine Learning, and Society
Author and book information
Book Chapter
Publication date (Print):
2004
Pages
: 63-71
DOI:
10.1007/978-3-540-28650-9_4
SO-VID:
e2cf1df1-932b-448f-833a-d76337a58398
License:
http://www.springer.com/tdm
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Book chapters
pp. 41
Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
pp. 63
Gaussian Processes in Machine Learning
pp. 72
Unsupervised Learning
pp. 146
Stochastic Learning
pp. 169
Introduction to Statistical Learning Theory
pp. 208
Concentration Inequalities
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