A dempster-shafer theoretic framework for boosting based ensemble design-Reference-Cited by-同舟云学术

A dempster-shafer theoretic framework for boosting based ensemble design

Published:2005-11-01 Issue:3 Volume:8 Page:287-302
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Altınçay Hakan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-005-0010-x.pdf

Reference45 articles.

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2. Schapire RE (2002) The boosting approach to machine learning: an overview. MSRI workshop on nonlinear estimation and classification, Berkeley

3. Skurichina M, Duin RPW (2002) Bagging, boosting and the random subspace method for linear classifiers. Pattern Anal Appl 5:121–135

4. Freund Y, Schapire RE (1996) Experiments with a new boosting algorithm. In: Machine learning: proceedings of the thirteenth national conference, Morgan Kauffmann, pp 148–156

5. Freund Y, Schapire RE (1995) A decision-theoretic generalization of on-line learning and an application to boosting. In: Second European conference on computational learning theory, March 1995

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