Central Library

Belief Functions: Theory and Applications (Record no. 87442)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-3-031-17801-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730171206.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031178016
-- 978-3-031-17801-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-17801-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA273.A1-274.9
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBWL
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBWL
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Edition number 23
245 10 - TITLE STATEMENT
Title Belief Functions: Theory and Applications
Medium [electronic resource] :
Remainder of title 7th International Conference, BELIEF 2022, Paris, France, October 26-28, 2022, Proceedings /
Statement of responsibility, etc. edited by Sylvie Le Hégarat-Mascle, Isabelle Bloch, Emanuel Aldea.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 317 p. 53 illus., 40 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 13506
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Evidential Clustering A Distributional Approach for Soft Clustering Comparison and Evaluation -- Causal transfer evidential clustering -- Jiang A variational Bayesian clustering approach to acoustic emission interpretation including soft labels -- Evidential clustering by Competitive Agglomeration -- Imperfect Labels with Belief Functions for Active Learning -- Machine Learning and Pattern Recognition An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers -- Ordinal Classification using Single-model Evidential Extreme Learning Machine -- Reliability-based imbalanced data classification with Dempster-Shafer theory -- Evidential regression by synthesizing feature selection and parameters learning -- Algorithms and Evidential Operators Distributed EK-NN classification -- On improving a group of evidential sources with different contextual corrections -- Measure of Information Content of Basic Belief Assignments -- Belief functions on On Modelling and Solving the Shortest PathProblem with Evidential Weights -- Data and Information Fusion Heterogeneous Image Fusion for Target Recognition based on Evidence Reasoning -- Cluster Decomposition of the Body of Evidence -- Evidential Trustworthiness Estimation for Cooperative Perception -- An Intelligent System for Managing Uncertain Temporal Flood events -- Statistical Inference - Graphical Models A practical strategy for valid partial prior-dependent possibilistic inference -- On Conditional Belief Functions in the Dempster-Shafer Theory -- Valid inferential models offer performance and probativeness assurances.Links with Other Uncertainty Theories A qualitative counterpart of belief functions with application to uncertainty propagation in safety cases -- The Extension of Dempster's Combination Rule Based on Generalized Credal Sets -- A Correspondence between Credal Partitions and Fuzzy Orthopartitions -- Toward updating belief functions over Belnap-Dunn logic -- Applications Real bird dataset with imprecise and uncertainvalues -- Addressing ambiguity in randomized reinsurance contracts using belief functions -- Evidential filtering and spatio-temporal gradient for micro-movements analysis in the context of bedsores prevention -- Hybrid Artificial Immune Recognition System with improved belief classification process.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the refereed proceedings of the 7th International Conference on Belief Functions, BELIEF 2022, held in Paris, France, in October 2022. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well-understood connections to other frameworks such as probability, possibility, and imprecise probability theories. It has been applied in diverse areas such as machine learning, information fusion, and pattern recognition. The 29 full papers presented in this book were carefully selected and reviewed from 31 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilities.
9 (RLIN) 4604
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability Theory.
9 (RLIN) 17950
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Le Hégarat-Mascle, Sylvie.
Relator term editor.
Authority record control number or standard number (orcid)
Real World Object URI 0000-0001-8494-2289
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97492
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bloch, Isabelle.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97494
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aldea, Emanuel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97495
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 97498
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031178009
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031178023
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume/sequential designation 13506
9 (RLIN) 97499
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-17801-6">https://doi.org/10.1007/978-3-031-17801-6</a>
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Koha item type eBooks-Lecture Notes in CS

No items available.