Posted by **bookwyrm** at June 20, 2016

2012 | 696 Pages | ISBN: 0321417461 | DJVU | 9 MB

Posted by **arundhati** at Feb. 16, 2016

2004 | ISBN-10: 1568812051 | 576 pages | PDF | 4 MB

Posted by **insetes** at Nov. 3, 2015

2011 | 492 Pages | ISBN: 1439815917 | PDF | 4 MB

Posted by **step778** at June 8, 2015

2011 | pages: 479 | ISBN: 1439815917 | PDF | 3,3 mb

Posted by **interes** at Nov. 26, 2014

English | 2011 | 491 Pages | ISBN: 1439815917 | PDF | 3,3 MB

Posted by **tukotikko** at Feb. 15, 2014

2012 | 696 Pages | ISBN: 0321417461 | DJVU | 9 MB

Posted by **interes** at Oct. 25, 2013

English | 2011 | 491 Pages | ISBN: 1439815917 | PDF | 3,3 MB

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.

Posted by **enmoys** at April 2, 2013

2011 | 491 Pages | ISBN: 1439815917 | PDF | 3 MB

Posted by **Alexpal** at Oct. 2, 2006

64667

Wiley | ISBN 0471735531 | 2005 Year | PDF | 12,42 Mb | 816 Pages

The field of intelligence, particularly of adolescent and adult mental development, has dominated the psychological literature for decades, and now encompasses a diversity of domains within cognitive psychology, clinical psychology, psychobiology, behavioral genetics, education, school psychology, sociology, neuropsychology, and everyday life.

Posted by **Stalker1984** at Oct. 9, 2011

C,R,C Pr..ess | ISBN: 1439815917 | 2010 | PDF | 479 pages | 3,31 mb

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.