تعزيز (تعلم الآلة) (Arabic Wikipedia)

Analysis of information sources in references of the Wikipedia article "تعزيز (تعلم الآلة)" in Arabic language version.

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berkeley.edu

Leo Breiman (1996). "BIAS, VARIANCE, AND ARCING CLASSIFIERS" (PDF). TECHNICAL REPORT. مؤرشف من الأصل (PDF) في 2015-01-19. اطلع عليه بتاريخ 2015-01-19. Arcing [Boosting] is more successful than bagging in variance reduction

Michael Kearns؛ Leslie Valiant (1989). "Crytographic limitations on learning Boolean formulae and finite automata". Proceedings of the twenty-first annual ACM symposium on Theory of computing - STOC '89. ACM. ج. 21. ص. 433–444. DOI:10.1145/73007.73049. ISBN:978-0897913072. S2CID:536357.

Michael Kearns؛ Leslie Valiant (1989). "Crytographic limitations on learning Boolean formulae and finite automata". Proceedings of the twenty-first annual ACM symposium on Theory of computing - STOC '89. ACM. ج. 21. ص. 433–444. DOI:10.1145/73007.73049. ISBN:978-0897913072. S2CID:536357.

Michael Kearns(1988); Thoughts on Hypothesis Boosting, Unpublished manuscript (Machine Learning class project, December 1988) نسخة محفوظة 2022-11-28 على موقع واي باك مشين.

Leo Breiman (1996). "BIAS, VARIANCE, AND ARCING CLASSIFIERS" (PDF). TECHNICAL REPORT. مؤرشف من الأصل (PDF) في 2015-01-19. اطلع عليه بتاريخ 2015-01-19. Arcing [Boosting] is more successful than bagging in variance reduction
Michael Kearns(1988); Thoughts on Hypothesis Boosting, Unpublished manuscript (Machine Learning class project, December 1988) نسخة محفوظة 2022-11-28 على موقع واي باك مشين.