Using boosting to simplify classification models

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2001, Pages 558-565

  Wheway, Virginia ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67650252697     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Blake, C.L. & Merz, C.J. (1988). UCI Repository of Machine Learning Databases. url=http://www.ics.uci.edu/~mlearn/MLRepository.html. University of California, Irvine, Dept. of Information and Computer Sciences.
2. Breiman, L. (1996a). Bagging predictors. Machine Learning, 26(2), 123-140.
3. Breiman, L. (1996b). Bias, Variance and Arcing Classfiers (Technical Report 460). Statistics Department, University of California, Berkeley.
4. Breiman, L. (1997). Arcing the edge (Technical Report 486). Statistics Department, University of California, Berkeley.
5. Breiman, L. (1999). Random Forests - Random Features (Technical Report 567). Statistics Department, University of California, Berkeley.
6. Freund, Y., & Schapire, R. E. (1996). Experiments with a new boosting algorithm. Proceedings of the Thirteenth International Conference on Machine Learning (pp. 148-156). Morgan Kaufmann.
7. Freund, Y., & Schapire, R. E. (1997). A decision-theoretic generalisation to on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 119-139.
8. Quinlan, J. R. (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann.
9. Quinlan, J. R. (1996). Bagging, boosting and C4.5. Proceedings of the Thirteenth National Conference on Artificial Intelligence. (pp. 725-730). Menlo Park California, American Association for Artificial Intelligence.
10. Schapire, R. E. , Freund, Y., Bartlett, P. & Lee, W. S. (1998). Boosting the margin:a new explanation for the effectiveness of voting methods. Annals of Statistics, 26(5), 1651-1686. (Pubitemid 128376902)
11. Wheway, V. L. (2000). Using Boosting to Detect Noisy Data To appear in Lecture Notes in Computer Science 2112:AIApps 2000 Springer