Belief Functions: Theory and Applications

8th International Conference, BELIEF 2024, Belfast, UK, September 2–4, 2024, Proceedings

Häftad, Engelska, 2024

Av Yaxin Bi, Anne-Laure Jousselme, Thierry Denoeux

999 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024, held in Belfast, UK, in September 2–4, 2024.The 30 full papers presented in this book were carefully selected and reviewed from 36 submissions. The papers cover a wide range on theoretical aspects on Machine learning; Statistical inference; Information fusion and optimization; Measures of uncertainty, conflict and distances; Continuous belief functions, logics, computation.

Produktinformation

Utgivningsdatum2024-08-20
Mått155 x 235 x undefined mm
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor294
FörlagSpringer International Publishing AG
EAN9783031679766

Du kanske också är intresserad av

Big Data Analytics for Time-Critical Mobility Forecasting

Big Data Analytics for Time-Critical Mobility Forecasting

George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti

2 379 kr

Big Data Analytics for Time-Critical Mobility Forecasting

Big Data Analytics for Time-Critical Mobility Forecasting

George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti

2 379 kr

Uncertainty Modelling in Data Science

Del 832

Uncertainty Modelling in Data Science

Sébastien Destercke, Thierry Denoeux, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz

2 109 kr

Knowledge and Systems Engineering

Del 244

Knowledge and Systems Engineering

Van Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh Cuong Le, Son Bao Pham

2 169 kr

Belief Functions: Theory and Applications

Del 164

Belief Functions: Theory and Applications

Thierry Denoeux, Marie-Hélène Masson

2 879 kr

Integrated Uncertainty in Knowledge Modelling and Decision Making

Integrated Uncertainty in Knowledge Modelling and Decision Making

Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux

739 kr

Integrated Uncertainty in Knowledge Modelling and Decision Making

Integrated Uncertainty in Knowledge Modelling and Decision Making

Van-Nam Huynh, Masahiro Inuiguchi, Bac Le, Bao Nguyen Le, Thierry Denoeux

739 kr

Belief Functions: Theory and Applications

Belief Functions: Theory and Applications

Thierry Denœux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon, Eric Lefevre, Frederic Pichon, Thierry Denoeux, Thierry Denux

949 kr

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Sébastien Destercke, Thierry Denoeux, Sebastien Destercke

739 kr

Knowledge and Systems Engineering

Del 245

Knowledge and Systems Engineering

Van Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh Cuong Le, Son Bao Pham

2 169 kr

Tillhör följande kategorier

.- Machine learning. .- Deep evidential clustering of images..- Incremental Belief-peaks Evidential Clustering..- Imprecise Deep Networks for Uncertain Image Classification..- Dempster-Shafer Credal Probabilistic Circuits..- Uncertainty quantification in regression neural networks using likelihood-based belief functions..- An evidential time-to-event prediction model based on Gaussian random fuzzy numbers..- Object Hallucination Detection in Large Vision Language Models via Evidential Conflict..- Multi-oversampling with evidence fusion for imbalanced data classification..- An Evidence-based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction..- Conflict Management in a Distance to Prototype-Based Evidential Deep Learning..- A Novel Privacy Preserving Framework for Training Dempster-Shafer Theory-based Evidential Deep Neural Network..- Statistical inference. .- Large-sample theory for inferential models: A possibilistic Bernstein–von Mises theorem..- Variational approximations of possibilistic inferential models..- Decision theory via model-free generalized fiducial inference..- Which statistical hypotheses are afflicted with false confidence?..- Algebraic expression for the relative likelihood-based evidential prediction of an ordinal variable..- Information fusion and optimization. .- Why Combining Belief Functions on Quantum Circuits?..- SHADED: Shapley Value-based Deceptive Evidence Detection in Belief Functions..- A Novel Optimization-Based Combination Rule for Dempster-Shafer Theory..- Fusing independent inferential models in a black-box manner..- Optimization under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives..- Measures of uncertainty, conflict and distances. .- A mean distance between elements of same class for rich labels..- Threshold Functions and Operations in the Theory of Evidence..- Mutual Information and Kullback-Leibler Divergence in the Dempster-Shafer Theory..- An OWA-based Distance Measure for Ordered Frames of Discernment..- Automated Hierarchical Conflict Reduction for Crowdsourced Annotation Tasks using Belief Functions..- Continuous belief functions, logics, computation. .- Gamma Belief Functions..- Combination of Dependent Gaussian Random Fuzzy Numbers..- A 3-valued Logical Foundation for Evidential Reasoning..- Accelerated Dempster Shafer using Tensor Train Representation.