Belief Functions: Theory and Applications [electronic resource] : 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings /

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 11069Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XI, 280 p. 58 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319993836

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

Uncertainty Quantification -- Fuzzy sets -- Belief Functions -- Imprecise Probabilities -- Machine Learning -- Imprecision Data Science -- Statistics -- Graphical Models -- Information Fusion.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018. The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.

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Uncertainty Quantification -- Fuzzy sets -- Belief Functions -- Imprecise Probabilities -- Machine Learning -- Imprecision Data Science -- Statistics -- Graphical Models -- Information Fusion.

This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018. The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.

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