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Belief Functions: Theory and Applications: 7th International Conference, BELIEF 2022, Paris, France, October 26–28, 2022, Proceedings
서명 / 저자 Belief Functions: Theory and Applications [electronic resource] : 7th International Conference, BELIEF 2022, Paris, France, October 26–28, 2022, Proceedings / edited by Sylvie Le Hégarat-Mascle, Isabelle Bloch, Emanuel Aldea.
저자명 Le Hégarat-Mascle, Sylvie. editor. (orcid)0000-0001-8494-2289 https://orcid.org/0000-0001-8494-2289 edt http://id.loc.gov/vocabulary/relators/edt ; Bloch, Isabelle. editor. (orcid)0000-0002-6984-1532 https://orcid.org/0000-0002-6984-1532 edt http://id.loc.gov/vocabulary/relators/edt ; Aldea, Emanuel. editor. (orcid)0000-0001-7065-4809 https://orcid.org/0000-0001-7065-4809 edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
판사항 1st ed. 2022.
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2022.
총서명 Lecture Notes in Artificial Intelligence, 2945-9141 ; 13506
Online Access https://doi.org/10.1007/978-3-... URL

서지기타정보

서지기타정보
ISBN 9783031178016
기타 표준번호 10.1007/978-3-031-17801-6
청구기호 QA273.A1-274.9
형태사항 XI, 317 p. 53 illus., 40 illus. in color. online resource.
언어 English
내용 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 Path Problem 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 uncertain values -- 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.
주제 Probabilities.
Probability Theory.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783031178009 Printed edition: 9783031178023
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