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  • Produktbild: Belief Functions: Theory and Applications
  • Produktbild: Belief Functions: Theory and Applications
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Belief Functions: Theory and Applications 7th International Conference, BELIEF 2022, Paris, France, October 26–28, 2022, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.10.2022

Herausgeber

Sylvie Le Hégarat-Mascle + weitere

Verlag

Springer

Seitenzahl

317

Maße (L/B/H)

23.5/15.5/1.9 cm

Gewicht

505 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-17800-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.10.2022

Herausgeber

Verlag

Springer

Seitenzahl

317

Maße (L/B/H)

23.5/15.5/1.9 cm

Gewicht

505 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-17800-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Belief Functions: Theory and Applications
  • Produktbild: Belief Functions: Theory and Applications
  • 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.