My Account Log in

1 option

Scalable Uncertainty Management : 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings / edited by Davide Ciucci, Gabriella Pasi, Barbara Vantaggi.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Ciucci, Davide, Editor.
Pasi, Gabriella., Editor.
Vantaggi, Barbara, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11142
Lecture Notes in Artificial Intelligence, 2945-9141 ; 11142
Language:
English
Subjects (All):
Artificial intelligence.
Machine theory.
Computer science.
Computer science-Mathematics.
Mathematical statistics.
Compilers (Computer programs).
Computer programming.
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer Science Logic and Foundations of Programming.
Probability and Statistics in Computer Science.
Compilers and Interpreters.
Programming Techniques.
Local Subjects:
Artificial Intelligence.
Formal Languages and Automata Theory.
Computer Science Logic and Foundations of Programming.
Probability and Statistics in Computer Science.
Compilers and Interpreters.
Programming Techniques.
Physical Description:
1 online resource (XI, 413 pages) : 53 illustrations
Edition:
1st ed. 2018.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.
Contents:
Answer Set Programming
Bayesian Networks
Data Integration
Decision Making
Information Theory
Logic Programming
Ontology
Rank Aggregation
Uncertainty
Clustering
Fuzzy logic.
Other Format:
Printed edition:
ISBN:
978-3-030-00461-3
9783030004613
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account