Boosting
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-03243-2_836-1
Reference19 articles.
1. Schapire RE (1990) The strength of weak learnability. Mach Learn 5(2):197–227
2. Freund Y, Schapire RE (1995) A decision-theoretic generalization of on-line learning and an application to boosting. In: Proceedings of the second European conference on computational learning theory, EuroCOLT ’95, pp 23–37
3. Friedman J, Hastie T, Tibshirani R (1998) Additive logistic regression: a statistical view of boosting. Ann Stat 28:337–407
4. Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29(5):1189–1232
5. Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Wadsworth and Brooks, Monterey
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