Symbolic and Quantitative Approaches to Reasoning with Uncertainty Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings

    • $59.99
    • $59.99

Publisher Description

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.

GENRE
Computing & Internet
RELEASED
2015
11 July
LANGUAGE
EN
English
LENGTH
567
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
14.3
MB

More Books Like This

Symbolic and Quantitative Approaches to Reasoning with Uncertainty Symbolic and Quantitative Approaches to Reasoning with Uncertainty
2017
Scalable Uncertainty Management Scalable Uncertainty Management
2018
Scalable Uncertainty Management Scalable Uncertainty Management
2015
Scalable Uncertainty Management Scalable Uncertainty Management
2017
Scalable Uncertainty Management Scalable Uncertainty Management
2020
Scalable Uncertainty Management Scalable Uncertainty Management
2019

More Books by Sébastien Destercke & Thierry Denoeux

Belief Functions: Theory and Applications Belief Functions: Theory and Applications
2018
Uncertainty Modelling in Data Science Uncertainty Modelling in Data Science
2018