Expert Systems and Probabilistic Network Models
(Sprache: Englisch)
Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.
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Klappentext zu „Expert Systems and Probabilistic Network Models “
Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.
Inhaltsverzeichnis zu „Expert Systems and Probabilistic Network Models “
From the contents:Rule-based expert systems.- Probabilistic expert systems.- Some concepts of graphs.- Building probabalistic models.- Graphically specified models.- Extending graphically specified models.- Exact propagation in probabilistic network models.- Approximate propagation methods.- Symbolic propagation of evidence.- Learning Bayesian models.- Case studies.
Bibliographische Angaben
- Autoren: Enrique Del Castillo , Jose M. Gutierrez , Ali S. Hadi
- XIV, 250 Seiten, mit Abbildungen, Maße: 24,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer
- ISBN-10: 0387948589
- ISBN-13: 9780387948584
Sprache:
Englisch
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