Advances in Bayesian Networks

• Corporate Author: SpringerLink (Online service)
• Other Authors: Gámez, José A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Moral, Serafin (Editor, http://id.loc.gov/vocabulary/relators/edt), Salmerón Cerdan, Antonio (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Edition: 1st ed. 2004.
• Series: Studies in Fuzziness and Soft Computing, 146
• Subjects: Probabilities.; Applied mathematics.; Engineering mathematics.; Artificial intelligence.; Pattern recognition.; Statistics .; Probability Theory and Stochastic Processes.; Mathematical and Computational Engineering.; Artificial Intelligence.; Pattern Recognition.; Statistical Theory and Methods.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
• Physical Description: XI, 328 p. online resource.
• ISBN: 9783540398790
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-540-39879-0

In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as Artificial Intelligence and Statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, "Advances in Bayesian Networks" presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.