Additive Logistic Regression: a Statistical View of Boosting (1998)

by Jerome Friedman , Trevor Hastie , Robert Tibshirani
Venue:Annals of Statistics
Citations:1303 - 21 self

Active Bibliography

26 The State of Boosting – Greg Ridgeway - 1999
111 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
39 Online ensemble learning – Nikunj Chandrakant Oza - 2001
66 On the Bayes-risk consistency of regularized boosting methods – Gábor Lugosi, Nicolas Vayatis
2 Upper bounds for error rates associated to linear combination of classifiers – Alejandro Murua - 1999
524 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
15 Boosting Methods for Regression – Nigel Duffy, David Helmbold - 200
38 Boosting algorithms: Regularization, prediction and model fitting – Peter Bühlmann, Torsten Hothorn - 2007
123 Boosting with the L_2-Loss: Regression and Classification – Peter Bühlmann, Bin Yu - 2001
9 Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression – D. L. Shrestha, D. P. Solomatine
22 AdaBoost is consistent – Peter L. Bartlett, Yoav Freund - 2006
575 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
1 Ensemble Learning – Martin Sewell - 2011
90 Using Output Codes to Boost Multiclass Learning Problems – Robert E. Schapire - 1997
540 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
724 Boosting the margin: A new explanation for the effectiveness of voting methods – Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee - 1997
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
33 Piecewise-polynomial regression trees – Probal Chaudhuri, Min-ching Huang, Wei-yin Loh, Ruji Yao - 1994
41 A Statistical Perspective on Knowledge Discovery in Databases – John F. Elder, IV, Daryl Pregibon - 1996