Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008
暂无分享,去创建一个
[1] David Mease,et al. Boosted Classification Trees and Class Probability/Quantile Estimation , 2007, J. Mach. Learn. Res..
[2] Peng Zhao,et al. Stagewise Lasso , 2007, J. Mach. Learn. Res..
[3] Peter Buhlmann,et al. BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING , 2007, 0804.2752.
[4] Nicolai Bissantz,et al. Convergence Rates of General Regularization Methods for Statistical Inverse Problems and Applications , 2007, SIAM J. Numer. Anal..
[5] Peter L. Bartlett,et al. AdaBoost is Consistent , 2006, J. Mach. Learn. Res..
[6] Roman W. Lutz,et al. LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[7] Jianfeng Gao,et al. Approximation Lasso Methods for Language Modeling , 2006, ACL.
[8] P. Bühlmann. Boosting for high-dimensional linear models , 2006 .
[9] Bin Yu,et al. Boosting with early stopping: Convergence and consistency , 2005, math/0508276.
[10] A. Buja,et al. Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications , 2005 .
[11] Ayhan Demiriz,et al. Linear Programming Boosting via Column Generation , 2002, Machine Learning.
[12] Gunnar Rätsch,et al. Soft Margins for AdaBoost , 2001, Machine Learning.
[13] Yoram Singer,et al. Logistic Regression, AdaBoost and Bregman Distances , 2000, Machine Learning.
[14] B. Turlach. Discussion of "Least Angle Regression" by Efron, Hastie, Johnstone and Tibshirani , 2004 .
[15] P. Bühlmann,et al. Boosting With the L2 Loss , 2003 .
[16] J. Friedman. Stochastic gradient boosting , 2002 .
[17] Gunnar Rätsch,et al. An Introduction to Boosting and Leveraging , 2002, Machine Learning Summer School.
[18] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[19] John D. Lafferty,et al. Boosting and Maximum Likelihood for Exponential Models , 2001, NIPS.
[20] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[21] Peter L. Bartlett,et al. Functional Gradient Techniques for Combining Hypotheses , 2000 .
[22] Leo Breiman,et al. Prediction Games and Arcing Algorithms , 1999, Neural Computation.
[23] Manfred K. Warmuth,et al. Boosting as entropy projection , 1999, COLT '99.
[24] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.
[25] Yoav Freund,et al. Game theory, on-line prediction and boosting , 1996, COLT '96.
[26] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.