Combining bagging, boosting, rotation forest and random subspace methods

Author:

Kotsiantis Sotiris

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference39 articles.

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2. Bosch A, Daelemans W (1999) Memory-based morphological analysis. In: Proceedings of 37th annual meeting of the ACL. University of Maryland, pp 285–292 ( http://ilk.kub.nl/~antalb/ltuia/week10.html )

3. Breiman L (1996) Bagging predictors. Mach Learn 24(3): 123–140

4. Breiman L (2001) Random forests. Mach Learn 45(1): 5–32

5. Bryll R, Gutierrez-Osuna R, Quek F (2003) Attribute bagging: improving accuracy of classifier ensemble by using random feature subsets. Pattern Recognit 36: 1291–1302

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