Belief Functions: Theory and Applications [electronic resource] : Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings /

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 8764Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014Description: XVIII, 444 p. 92 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319111919

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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:

Belief combination -- Machine learning -- Applications -- Theory -- Networks -- Information fusion -- Data association.- Geometry.

In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; networks; information fusion; data association; and geometry.

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Belief combination -- Machine learning -- Applications -- Theory -- Networks -- Information fusion -- Data association.- Geometry.

This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; networks; information fusion; data association; and geometry.

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