An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants (1999)

by Eric Bauer , Ron Kohavi
Venue:MACHINE LEARNING
Citations:539 - 2 self

Active Bibliography

1023 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
3 Classifying Unseen Cases with Many Missing Values – Zijian Zheng, Boon Toh Low - 1999
1 Integrating Boosting and Stochastic Attribute Selection Committees for Further Improving the Performance of Decision Tree Learning – Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting - 1998
15 Stochastic attribute selection committees – Zijian Zheng, Geoffrey I. Webb - 1998
39 Online ensemble learning – Nikunj Chandrakant Oza - 2001
MLC++ Utilities 2.0 – Ronny Kohavi, Dan Sommerfield - 1996
12 Naive Bayesian Classifier Committees – Zijian Zheng - 1998
18 Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees – Zijian Zheng , Geoffrey I. Webb, Kai Ming Ting - 1999
107 Wrappers For Performance Enhancement And Oblivious Decision Graphs – Ron Kohavi, Yoav Shoham, Jerry Friedman - 1995
3 Ensemble Methods Based on Bias–Variance Analysis – Giorgio Valentini - 2003
51 Using Correspondence Analysis to Combine Classifiers – Christopher J. Merz, Sal Stolfo - 1998
564 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
50 Theoretical Views of Boosting and Applications – Robert E. Schapire - 1999
90 Using Output Codes to Boost Multiclass Learning Problems – Robert E. Schapire - 1997
15 Boosting Methods for Regression – Nigel Duffy, David Helmbold - 200
c ○ 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Boosting Methods for Regression ∗ – Nigel Duffy, David Helmbold, Jyrki Kivinen
515 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
91 MultiBoosting: A Technique for Combining Boosting and Wagging – Geoffrey I. Webb - 2000
2 Multiple Boosting: A Combination of Boosting and Bagging – Zijian Zheng, Geoffrey I. Webb - 1998