Author:
Van Assche Anneleen,Blockeel Hendrik
Publisher
Springer Berlin Heidelberg
Reference19 articles.
1. Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning 36, 105 (1999)
2. Breiman, L.: Bagging predictors. Machine Learning 24(2), 123–140 (1996)
3. Breiman, L.: Random forests. Machine Learning 45(1), 5–32 (2001)
4. Craven, M.W.: Extracting Comprehensible Models from Trained Neural Networks. PhD thesis, University of Wisconsin, Madison (2003)
5. de Castro Dutra, I., Page, D., Costa, V., Shavlik, J.: An empirical evaluation of bagging in inductive logic programming. In: Proc. of the 12th International Conference on Inductive Logic Programming, pp. 48–65 (2002)
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献