Kernel density classification and boosting: an L2 analysis-Reference-Cited by-同舟云学术

Kernel density classification and boosting: an L2 analysis

Published:2005-04 Issue:2 Volume:15 Page:113-123
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Marzio M. Di,Taylor C. C.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11222-005-6203-8.pdf

Reference26 articles.

1. Abramson I.S. 1982. On bandwidth variation in kernel estimates?a square root law. Annals of Statistics 9: 127?132.

2. Bühlmann P. and Yu B. 2003. Boosting with L2-Loss: Regression and classification. Journal of the American Statistical Association 98: 324?449.

3. Di Marzio M. and Taylor C.C. 2004a. Boosting Kernel density estimates: A bias reduction technique? Biometrika 91: 226?233.

4. Di Marzio M. and Taylor C.C. 2004b. On learning kernel density methods for multivariate data: Density estimation and classification. submitted for publication.

5. Freund Y. 1995. Boosting a weak learning algorithm by majority. Information and Computation 121: 256?285.

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