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Scalable Uncertainty Management : 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings /

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017. The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The b...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Moral, Seraf n; Pivert, Olivier; S nchez, Daniel; Mar n, Nicol s
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Computer Science, 10564
Subjects:
Computer science
Software engineering
Computer logic
Mathematical logic
Computer science > Mathematics
Artificial intelligence
Application software
Artificial Intelligence incl. Robotics
Logics and Meanings of Programs
Mathematical Logic and Formal Languages
Software Engineering/Programming and Operating Systems
Computer Appl. in Administrative Data Processing
Mathematics of Computing
Online Access: http://dx.doi.org/10.1007/978-3-319-67582-4
Summary: This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017. The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers. Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is i
Carrier Form: 1 online resource (XIX, 438 pages): illustrations.
ISBN: 9783319675824
Index Number: Q334
CLC: TP18-532
Contents: Invited papers -- Maximum likelihood estimation and coarse data -- Reasons and Means to Model Preferences as Incomplete -- Fuzzy Description Logics - A Survey -- Regular papers -- Using k-specificity for the management of count restrictions in flexible querying -- Comparing Machine Learning and Information Retrieval-based Approaches for Filtering Documents in a Parliamentary Setting -- Eliciting Implicit Evocations using Word Embeddings and Knowledge Representation -- K-nearest neighbour classification for interval-valued data -- Estimating Conditional Probabilities by Mixtures of Low Order

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