Posted by **melia** at Feb. 10, 2013

English | 2011 | ISBN: 1849961867 | 240 pages | PDF | 4.24 MB

Posted by **interes** at Feb. 7, 2013

2011 | ISBN: 0470527013 | 484 pages | PDF | 19 MB

A Rigorous Algebraic Study of the Most Popular Inference Formalisms

This unique text provides a complete algebraic and algorithmic study of generic inference methods that are derived from the general valuation algebra framework, with special focus on the many practical applications in computer science. Written by the leading international authorities on the topic, Generic Inference is divided into three parts:

Posted by **lout** at Nov. 17, 2010

Publisher: Sp.ri.ng.er 2002 | 231 Pages | ISBN: 3540436146 | DJVU | 2 MB

Posted by **libr** at July 9, 2017

English | 2006-01-17 | ISBN: 0471667269 | 210 pages | PDF | 1,2 mb

Posted by **DZ123** at July 8, 2017

English | 2015 | ISBN: 0133943283 | PDF | pages: 604 | 15.1 mb

Posted by **interes** at June 29, 2017

English | 2015 | ISBN: 0198717180 | 272 pages | PDF | 1,8 MB

Posted by **interes** at June 29, 2017

English | 2016 | ISBN: 0198755597 | 300 pages | PDF | 13,8 MB

Posted by **AvaxGenius** at June 27, 2017

English | PDF | 2017 | 552 Pages | ISBN : 9811041172 | 13.88 MB

This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications. Mathematical similarities and philosophical differences between Bayesian and classical statistical approaches to system identification are discussed, allowing their mathematical tools to be shared and their results correctly interpreted.

Posted by **libr** at June 16, 2017

English | 2005-04 | ISBN: 1585621595 | 728 pages | PDF | 9,8 MB

Posted by **interes** at June 14, 2017

English | 2013 | ISBN-10: 0415657598, 0415657601 | 280 pages | EPUB | 4,5 MB