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The refereed proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2003, held in Aalborg, Denmark in July 2003.
The 47 revised full papers presented together with 2 invited survey articles were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on foundations of uncertainty concepts, Bayesian networks, algorithms for uncertainty inference, learning, decision graphs, belief functions, fuzzy sets, possibility theory, default reasoning, belief revision and inconsistency...

Imagination is a concept that spans traditional disciplinary and professional boundaries. The authors in this book acknowledge diverse theoretical and practical allegiances, but they concur that imagination will play an...

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Mit dem Lonely Planet Dänemark auf eigene Faust durch das Wikinger-Land! Etliche Monate Recherche stecken im Kultreiseführer für Individualreisende. Die Autoren liefern die besten Tipps und Infos für die Planung der Reise, beschreiben alle interessanten Sehenswürdigkeiten und präsentieren ihre persönlichen Entdeckungen und Tipps und alles was man wissen muss über unseren Nachbarn im Norden. Bewundere den altmodischen Charme in...

Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity...

Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity...