Online Bagging and Boosting (2001)

by Nikunj C. Oza , Stuart Russell
Venue:In Artificial Intelligence and Statistics 2001
Citations:81 - 1 self

Active Bibliography

39 Online ensemble learning – Nikunj Chandrakant Oza - 2001
17 Low bias bagged support vector machines – Giorgio Valentini, Thomas G. Dietterich - 2003
112 A streaming ensemble algorithm (SEA) for large-scale classification – W. Nick Street - 2001
515 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
97 Boosting in the limit: Maximizing the margin of learned ensembles – Adam J. Grove, Dale Schuurmans - 1998
3 Selectively Ensembling Neural Classifiers – Z.-H. Zhou, J. Wu, W. Tang, Z.-Q. Chen, Zhi-hua Zhou, Jianxin Wu, Wei Tang, Zhao-qian Chen - 2002
67 Ensembling Neural Networks: Many Could Be Better Than All – Zhi-hua Zhou, Jianxin Wu, Wei Tang - 2002
3 Examining the relationship between majority vote accuracy and diversity in bagging and boosting – C. J. Whitaker, L. I. Kuncheva - 2000
3 Nonlinear boosting projections for ensemble construction – Nicolás García-pedrajas, César García-osorio, Colin Fyfe, Dale Schuurmans
3 A Fourier analysis based approach to learning decision trees in a distributed environment – Byung-hoon Park, Rajeev Ayyagari - 2001
2 A robust boosting algorithm – Richard Nock, Patrice Lefaucheur - 2002
54 Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift – Jeremy Z. Kolter, Marcus A. Maloof - 2003
7 Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression – D. L. Shrestha, D. P. Solomatine
18 Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces – Gunnar Rätsch, Ayhan Demiriz, Kristin Bennett - 2000
18 Leveraging for Regression – Nigel Duffy, David Helmbold - 2000
110 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
3 Ensemble Methods Based on Bias–Variance Analysis – Giorgio Valentini - 2003
Contents 1 Ensemble methods: a review 3 – Matteo Re, Giorgio Valentini
10 Classifier Ensembles: Select Real-World Applications – Nikunj C. Oza, Kagan Tumer - 2008