Advances in Probabilistic Graphical Models
In recent years considerable progress has been made in the area of probabilistic graphical models, in particular Bayesian networks and influence diagrams. Probabilistic graphical models have become mainstream in the area of uncertainty in artificial intelligence;contributions to the area are coming from computer science, mathematics, statistics and engineering.This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensiti…
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Produktdetails
Weitere Autoren: Lucas, Peter (Hrsg.) / Salmerón Cerdan, Antonio (Hrsg.)
- ISBN: 978-3-642-08854-4
- EAN: 9783642088544
- Produktnummer: 10559281
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 408 S.
- Masse: H23.5 cm x B15.5 cm x D2.1 cm 616 g
- Auflage: Softcover reprint of hardcover 1st ed. 2007
- Abbildungen: Paperback
- Gewicht: 616
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