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Author Rasmussen, Carl Edward.

Title Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.

Imprint Cambridge, Mass. : MIT Press, ©2006.

Copies

Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource (xviii, 248 pages) : illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
data file rda
Series Adaptive computation and machine learning
Adaptive computation and machine learning.
Bibliography Includes bibliographical references (pages 223-238) and indexes.
Note Print version record.
Contents Regression -- Classification -- Covariance functions -- Model selection and adaptation of hyperparameters -- Relationships between GPs and other models -- Theoretical perspectives -- Approximation methods for large datasets -- Appendix A : Mathematical background -- Appendix B : Guassian Markov processes.
Summary "Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified 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."--Jacket.
Subject Gaussian processes -- Data processing.
Machine learning -- Mathematical models.
Processus gaussiens -- Informatique.
Apprentissage automatique -- Modèles mathématiques.
MATHEMATICS -- Probability & Statistics -- Stochastic Processes.
Gaussian processes -- Data processing. (OCoLC)fst00939022
Machine learning -- Mathematical models. (OCoLC)fst01004800
Gauß-Prozess
Maschinelles Lernen
Indexed Term COMPUTER SCIENCE/Machine Learning & Neural Networks
Genre/Form Electronic book.
Electronic books.
Added Author Williams, Christopher K. I.
Other Form: Print version: Rasmussen, Carl Edward. Gaussian processes for machine learning. Cambridge, Mass. : MIT Press, ©2006 026218253X (DLC) 2005053433 (OCoLC)61285753
ISBN 9780262256834 (electronic bk.)
0262256835 (electronic bk.)
1423769902 (electronic bk.)
9781423769903 (electronic bk.)
9780262182539
026218253X
Standard No. AU@ 000044593410
AU@ 000050962275
AU@ 000051366473
AU@ 000053001766
AU@ 000053225025
DEBBG BV042508924
DEBBG BV044105048
DEBSZ 422277827
DEBSZ 480916187
GBVCP 801424682
NLGGC 285392832
NZ1 12060850

 
    
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