Data Complexity Analysis for Classifier Combination-Reference-Cited by-同舟云学术

Data Complexity Analysis for Classifier Combination

Published:2001 Issue: Volume: Page:53-67
ISSN:0302-9743
Container-title:Multiple Classifier Systems
language:
Short-container-title:

Author:

Kam Ho Tin

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48219-9_6

Reference28 articles.

1. L. Devroye, Any discrimination rule can have an arbitrarily bad probability of error for finite sample size, IEEE Transactions on Pattern Analysis and Machine Intelligence, 4,2, March 1982, 154–157.

2. L. Devroye, Automatic pattern recognition: a study of the probability of error, IEEE Transactions on Pattern Analysis and Machine Intelligence, 10,4, July 1988, 530–599.

3. R.P.W. Duin, Compactness and Complexity of Pattern Recognition Problems, in C. Perneel, eds., Proc. Int. Symposium on Pattern Recognition, In Memoriam Pierre Devijver, Royal Military Academy, Brussels, Feb 12, 1999, 124–128.

4. R.P.W. Duin, Classifiers in almost empty spaces, Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, September 3–8, 2000, II, 1–7.

5. J.L. Engvall, A least upper bound for the average classification accuracy of multiple observers, Pattern Recognition, 12, 415–419.

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