Active classification using belief functions and information gain maximization (English)
- New search for: Reineking, Thomas
- New search for: Reineking, Thomas
In:
International Journal of Approximate Reasoning
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72
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43-54
;
2015
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Active classification using belief functions and information gain maximization
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Contributors:Reineking, Thomas ( author )
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Published in:International Journal of Approximate Reasoning ; 72 ; 43-54
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Publisher:
- New search for: Elsevier Inc.
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Publication date:2015-12-09
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Size:12 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 72
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Belief functions: Theory and applications (BELIEF 2014)Cuzzolin, Fabio et al. | 2016
- 4
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Proposition and learning of some belief function contextual correction mechanismsPichon, Frédéric / Mercier, David / Lefèvre, Éric / Delmotte, François et al. | 2015
- 43
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Active classification using belief functions and information gain maximizationReineking, Thomas et al. | 2015
- 55
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Evidential calibration of binary SVM classifiersXu, Philippe / Davoine, Franck / Zha, Hongbin / Denœux, Thierry et al. | 2015
- 71
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Prediction of future observations using belief functions: A likelihood-based approachKanjanatarakul, Orakanya / Denœux, Thierry / Sriboonchitta, Songsak et al. | 2015
- 95
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Causal compositional models in valuation-based systems with examples in specific theoriesJiroušek, Radim / Shenoy, Prakash P. et al. | 2015
- IFC
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Editorial Board| 2016