Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost-Reference-Cited by-同舟云学术

Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost

Published:2004 Issue: Volume: Page:698-706
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Altınçay Hakan,Ergün Cem

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-27868-9_76.pdf

Reference10 articles.

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3. Weiss, G.M., Provost, F.: The effect of class distribution on classifier learning: An empirical study. Technical Report ML-TR-44, Department of Computer Science, Rutgers University (August 2001)

4. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: Second European Conference on Computational Learning Theory (March 1995)

5. Duin, R.P.W.: PRTOOLS (version 3.0). A Matlab toolbox for pattern recognition. Pattern Recognition Group, Delft University, Netherlands (January 2000)

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