PAC Learning from Positive Statistical Queries

Author:

Denis FranÇois

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. D. Angluin and P. Laird. Learning from noisy examples. Machine Learning, 2(4):343–370, 1988.

2. D. Angluin. Inductive inference of formal languages from positive data. In-form. Control, 45(2):117–135, May 1980.

3. Shai Ben-David and Michael Lindenbaum. Learning distributions by their density levels:A paradigm for learning without a teacher. Journal of Com-puter and System Sciences, 55(1):171–182, August 1997.

4. R. Berwick. Learning from positive-only examples. In Machine Learning, Vol. II, pages 625–645. Morgan Kaufmann, 1986.

5. S.E. Decatur. Pac learning with constant-partition classification noise and applications to decision tree induction. In Proceedings of the Fourteenth In-ternational Conference on Machine Learning, 1997.

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