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

Contributor(s): Cuzzolin, Fabio [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8764Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XVIII, 444 p. 92 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319111919.Subject(s): Computer science | Information storage and retrieval | Artificial intelligence | Image processing | Pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl. Internet) | Pattern Recognition | Information Storage and Retrieval | Image Processing and Computer VisionAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Belief combination -- Machine learning -- Applications -- Theory -- Networks -- Information fusion -- Data association.- Geometry.
In: Springer eBooksSummary: 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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