Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings: Lecture Notes in Computer Science, cartea 9161
Editat de Sébastien Destercke, Thierry Denoeuxen Limba Engleză Paperback – 29 iun 2015
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Specificații
ISBN-13: 9783319208060
ISBN-10: 3319208063
Pagini: 554
Ilustrații: XIII, 554 p. 107 illus.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.79 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319208063
Pagini: 554
Ilustrații: XIII, 554 p. 107 illus.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.79 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Decision theory and preferences.- Argumentation.-Conditionals.- Game theory.- Belief update.- Classification.- Inconsistency.- Graphical models.- Bayesian Networks.- Belief functions.- Logic.-Probabilistic graphical models for scalable data analytics.
Textul de pe ultima copertă
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.
Caracteristici
Includes supplementary material: sn.pub/extras