Splitting and similarity phenomena in the sets of classifiers and their effect on the probability of overfitting-Reference-Cited by-同舟云学术

Splitting and similarity phenomena in the sets of classifiers and their effect on the probability of overfitting

Published:2009-09 Issue:3 Volume:19 Page:412-420
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Vorontsov K. V.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661809030055.pdf

Reference18 articles.

1. K. V. Vorontsov, “A Survey on Modern Research of Generalization Bounds for Learning Algorithms,” Tavrich. Vestn. Inf. Mat., No. 1, 5–24 (2004) [in Russian].

2. E. T. Bax, “Similar Classifiers and VC Error Bounds,” Tech. Rep. CalTech-CS-TR97-14: 6, 1997.

3. S. Boucheron, O. Bousquet, and G. Lugosi, “Theory of Classification: A Survey of Some Recent Advances,” ESIAM: Probab. Stat., No. 9, 323–375 (2005).

4. B. Efron, The Jackknife, the Bootstrap, and Other Resampling Plans (SIAM, Philadelphia, 1982).

5. R. L. Graham, D. E. Knuth, and O. Patashnik, Concrete Mathematics (Addison-Wesley, Reading, 1994), p. 657.

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