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Gaussian processes for machine learning
"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
Detection of Random Signals in Dependent Gaussian Noise
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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