Classification with guaranteed probability of error-Reference-Cited by-同舟云学术

Classification with guaranteed probability of error

Published:2010-04-17 Issue:1 Volume:80 Page:63-84
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Campi Marco C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s10994-010-5183-x.pdf

Reference38 articles.

1. Anthony, M. (2004). Generalization error bounds for threshold decision lists. Journal of Machine Learning Research, 5, 189–217.

2. Asuncion, A., & Newman, D. J. (2007). UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences. URL: http://www.ics.uci.edu/~mlearn/MLRepository.html .

3. Bartlett, P. L., & Wegkamp, M. H. (2008). Classification with a reject option using a hinge loss. Journal of Machine Learning Research, 9, 1823–1840.

4. Chernoff, H. (1952). A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. Annals of Mathematical Statistics, 23, 493–507.

5. Chow, C. K. (1957). An optimum character recognition system using decision functions. IRE Transactions on Electronic Computers, 6, 247–254.

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