Posted by **interes** at April 13, 2015

English | 2006-07-24 | ISBN: 0521863007 | 630 pages | PDF | 3,2 Mb

Posted by **Veslefrikk** at Oct. 21, 2014

English | 2005-11-23 | ISBN: 026218253X | 266 pages | PDF | 11 mb

Posted by **ChrisRedfield** at Oct. 26, 2013

Published: 2012-01-13 | ISBN: 3642249388 | PDF | 120 pages | 3 MB

Posted by **elodar** at Sept. 9, 2013

English | 2005-11-23 | ISBN: 026218253X | 266 pages | PDF | 38.11 mb

Posted by **tot167** at Aug. 6, 2011

The M,IT Press | 2005 | ISBN: 026218253X | 266 pages | PDF | 2,7 MB

Posted by **ginofdagame** at Oct. 5, 2007

276051

**Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)**

Publisher: The MIT Press | Author(s): Christopher K. I. Williams | ISBN:026218253X | Release Date: 01 December 2005 | 2.63 MB | Pages: 266 | deposifiles

Publisher: The MIT Press | Author(s): Christopher K. I. Williams | ISBN:026218253X | Release Date: 01 December 2005 | 2.63 MB | Pages: 266 | deposifiles

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.

Posted by **interes** at April 4, 2014

English | 2014 | ISBN: 9814522287 | ISBN-13: 9789814522281 | 230 pages | PDF | 1,6 MB

This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic integrals, compound Poisson, infinitely divisible and stable distributions and processes.

Posted by **interes** at Jan. 28, 2014

English | June 22, 1994 | ISBN: 0821802690 | Pages: 134 | DJVU | 1,2 MB

For about half a century, two classes of stochastic processes–Gaussian processes and processes with independent increments–have played an important role in the development of stochastic analysis and its applications. During the last decade, a third class–branching measure-valued (BMV) processes–has also been the subject of much research.

Posted by **tanas.olesya** at Aug. 19, 2015

English | 21 Feb. 2014 | ISBN: 3642540740 | 830 Pages | PDF | 6 MB

The book develops modern methods and in particular the "generic chaining" to bound stochastic processes. This methods allows in particular to get optimal bounds for Gaussian and Bernoulli processes.

Posted by **interes** at July 19, 2015

English | 2015 | ISBN: 1498707815 | 201 pages | PDF | 2,5 MB