Probability On Trees And Networks


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Probability on Trees and Networks


Probability on Trees and Networks

Author: Russell Lyons

language: en

Publisher:

Release Date: 2016


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Symbolic and Quantitative Approaches to Reasoning with Uncertainty


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Claudio Sossai

language: en

Publisher: Springer

Release Date: 2009-06-05


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This book constitutes the refereed proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009, held in Verona, Italy, July 1-3, 2009. There are 76 revised full papers presented together with 3 invited lectures by three outstanding researchers in the area. All papers were carefully reviewed and selected from 118 submissions for inclusion in the book. The papers are organized in topical sections on algorithms for uncertain inference, argumentation systems, Bayesian networks, Belief functions, Belief revision and inconsistency handling, classification and clustering, conditioning, independence, inference, default reasoning, foundations of reasoning, decision making under uncertainty, Fuzzy sets and Fuzzy logic, implementation and application of uncertain systems, logics for reasoning under uncertainty, Markov decision process, and Mathematical Fuzzy Logic.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Salem Benferhat

language: en

Publisher: Springer Science & Business Media

Release Date: 2001-08-29


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This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.


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