Advances in Bayesian Networks |
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| Editor:
| Gámez, José A.
Moral, Serafin
Salmerón Cerdan, Antonio
Gámez, José A.
Salmerón Cerdan, Antonio |
| Series title: | Studies in Fuzziness and Soft Computing Ser. |
| ISBN: | 978-3-540-39879-0 |
| Publication Date: | Jun 2013 |
| Publisher: | Springer
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| Book Format: | Ebook |
| List Price: | USD $239.00 |
Book Description:
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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...
More 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.