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Rasmussen, Carl Edward : 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.
Autor Rasmussen, Carl Edward / Williams, Christopher K. I.
Verlag MIT Press
Einband Fester Einband
Erscheinungsjahr 2005
Seitenangabe 272 S.
Meldetext Lieferbar in ca. 20-45 Arbeitstagen
Ausgabekennzeichen Englisch
Masse H26.2 cm x B21.0 cm x D1.8 cm 764 g
Reihe Adaptive Computation and Machine Learning series
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Fr. 58.50
Verfügbarkeit: Am Lager
ISBN: 978-0-262-18253-9
Verfügbarkeit: Lieferbar in ca. 20-45 Arbeitstagen

Über den Autor Rasmussen, Carl Edward

Carl Edward Rasmussen is a Lecturer at the Department of Engineering, University of Cambridge, and Adjunct Research Scientist at the Max Planck Institute for Biological Cybernetics, Tübingen.

Christopher K. I. Williams is Professor of Machine Learning and Director of the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh.

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