Purifying Data by Machine Learning with Certainty Levels

Author:

Dolev Shlomi,Leshem Guy

Publisher

Springer Nature Switzerland

Reference14 articles.

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2. Auer, P.: Learning nested differences in the presence of malicious noise. Theor. Comput. Sci. 185(1), 159–175 (1997)

3. Auer, P., Cesa-Bianchi, N.: On-line learning with malicious noise and the closure algorithm. Ann. Math. Artif. Intel. 23, 83–99 (1998)

4. Breiman, L.: Random forests, Statistics department. Technical report, University of California, Berkeley (1999)

5. Cesa-Bianchi, N., Dichterman, E., Fischer, P., Shamir, E., Simon, U.H.: Ample-efficient strategies for learning in the presence of noise. ACM 46(5), 684–719 (1999)

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