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2005•272 pages•Published•ENG•User Reviews

Gaussian processes for machine learning

4.0/ 5
1 ratings

About This Book

Gaussian processes (GPs) provide an approach to kernel-machine learning. This book provides a treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. (From the book's web site, http://www.gaussianprocess.org/gpml/ )

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Data processingGaussian processesMachine learningMathematical modelsInformatiqueModèles mathématiquesApprentissage automatiqueProbability & StatisticsMaschinelles LernenProcessus gaussiensMATHEMATICSGauß-Prozess

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Book Details

First Published

2005

Pages

272 pages

Rating

4.0 / 5

Ratings

1

Editions

6

Publisher

MIT Press

Language

ENG

Status

Published

The People Behind The Book

Authors

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