A comparison of stacking with meta decision trees to bagging, boosting, and stacking with other methods

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2001, Pages 669-670

  Ženko, Bernard ^a   Todorovski, Ljupčo ^a   Džeroski, Sašo ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33751567719     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Breiman, L. (1996) Bagging predictors. Machine Learning, 24(2): 123-140.
2. Freund, Y. and Schapire, R. E. (1996) Experiments with a new boosting algorithm. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 148-156. Morgan Kaufmann, San Francisco.
3. Quinlan, J. R. (1993) C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco.
4. Ting, K. M. and Witten, I. H. (1999) Issues in stacked generalization. Journal of Artificial Intelligence Research, 10: 271-289.
5. Todorovski, L. and Džeroski, S. (2000) Combining multiple models with meta decision trees. In Proceedings of the Fourth European Conference on Principles of Data Mining and Knowledge Discovery, pages 54-64. Springer, Berlin.
6. Witten, I. H. and Frank, E. (1999) Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco.
7. Wolpert, D. (1992) Stacked generalization. Neural Networks 5(2): 241-260.