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Studies in Fuzziness and Soft Computing Ser.: Advances in Bayesian Networks by Antonio Salmerón Cerdan (2010, Trade Paperback)
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- Sofort-KaufenAdvances in Bayesian Networks (Taschenbuch oder Softback)
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Über dieses Produkt
Product Identifiers
PublisherSpringer Berlin / Heidelberg
ISBN-10364205885X
ISBN-139783642058851
eBay Product ID (ePID)2309779136
Product Key Features
Number of PagesXi, 328 Pages
LanguageEnglish
Publication NameAdvances in Bayesian Networks
SubjectEngineering (General), Probability & Statistics / General, Neural Networks, Applied, Probability & Statistics / Bayesian Analysis
Publication Year2010
TypeTextbook
Subject AreaMathematics, Computers, Technology & Engineering
AuthorAntonio Salmerón Cerdan
SeriesStudies in Fuzziness and Soft Computing Ser.
FormatTrade Paperback
Dimensions
Item Weight18.6 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition22
Series Volume Number146
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal006.32
Table Of ContentHypercausality, Randomisation Local and Global Independence.- Interface Verification for Multiagent Probabilistic Inference.- Optimal Time--Space Tradeoff In Probabilistic Inference.- Hierarchical Junction Trees.- Algorithms for Approximate Probability Propagation in Bayesian Networks.- Abductive Inference in Bayesian Networks: A Review.- Causal Models, Value of Intervention, and Search for Opportunities.- Advances in Decision Graphs.- Real-World Applications of Influence Diagrams.- Learning Bayesian Networks by Floating Search Methods.- A Graphical Meta-Model for Reasoning about Bayesian Network Structure.- Restricted Bayesian Network Structure Learning.- Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm.- Learning Essential Graph Markov Models from Data.- Fast Propagation Algorithms for Singly Connected Networks and their Applications to Information Retrieval.- Continuous Speech Recognition Using Dynamic Bayesian Networks: A Fast Decoding Algorithm.- Applications of Bayesian Networks in Meteorology.
SynopsisIn 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.
LC Classification NumberQA273.A1-274.9
