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Found 2 from your keywords: subject="Gaussian"
cover
Gaussian processes for machine learning
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Rasmussen, Carl Edward.Williams, Christopher K. I.

"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, tar…

Edition
-
ISBN/ISSN
9780262256834
Collation
1 online resource (xviii, 248 pages) : illustrations.
Series Title
-
Call Number
510 RAS g
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cover
Detection of Random Signals in Dependent Gaussian Noise
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Antonio F. Gualtierotti

The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas – reproducing kernel Hilbert spaces, Cramér-Hida representations and stochastic calculus – for which a somewhat different approach was used than in their usual stand-alone context. One …

Edition
-
ISBN/ISSN
9783319223155
Collation
1198 p.
Series Title
-
Call Number
516.9
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