Advances in Bayesian Networks Contributor(s): Gámez, José a. (Editor), Moral, Serafin (Editor), Salmerón Cerdan, Antonio (Editor) |
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ISBN: 364205885X ISBN-13: 9783642058851 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: December 2010 |
Additional Information |
BISAC Categories: - Mathematics | Applied - Computers | Computer Vision & Pattern Recognition - Mathematics | Probability & Statistics - General |
Dewey: 519.542 |
Series: Studies in Fuzziness and Soft Computing |
Physical Information: 0.72" H x 6.14" W x 9.21" (1.06 lbs) 328 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |