Symbolic and Quantitative Approaches to Reasoning with Uncertainty 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings /

This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Destercke, Sébastien (Editor ), Denoeux, Thierry (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Artificial Intelligence, 9161
Temas:
Artificial intelligence.
Application software.
Computer science.
Machine theory.
Information storage and retrieval systems.
Computer networks .
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Information Storage and Retrieval.
Computer Communication Networks.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions and cover topics on decision theory and preferences; argumentation; conditionals; game theory; belief update; classification; inconsistency; graphical models; Bayesian networks; belief functions; logic; and probabilistic graphical models for scalable data analytics. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.
Descripción Física:XIII, 554 p. 107 illus. online resource.
ISBN:9783319208077
ISSN:2945-9141 ;

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