Entropy Regularized LPBoost
暂无分享,去创建一个
[1] Ayhan Demiriz,et al. Linear Programming Boosting via Column Generation , 2002, Machine Learning.
[2] Yoram Singer,et al. A Comparison of New and Old Algorithms for a Mixture Estimation Problem , 1995, COLT '95.
[3] Gunnar Rätsch,et al. Boosting Algorithms for Maximizing the Soft Margin , 2007, NIPS.
[4] Yoram Singer,et al. On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms , 2010, Machine Learning.
[5] Gunnar Rätsch,et al. Robust Boosting via Convex Optimization: Theory and Applications , 2007 .
[6] David P. Helmbold,et al. Potential Boosters? , 1999, NIPS.
[7] Gunnar Rätsch,et al. Soft Margins for AdaBoost , 2001, Machine Learning.
[8] Babak Hassibi,et al. The p-norm generalization of the LMS algorithm for adaptive filtering , 2003, IEEE Transactions on Signal Processing.
[9] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.
[10] Gunnar Rätsch,et al. Totally corrective boosting algorithms that maximize the margin , 2006, ICML.
[11] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[12] R. Schapire,et al. Analysis of boosting algorithms using the smooth margin function , 2007, 0803.4092.
[13] Manfred K. Warmuth,et al. Boosting as entropy projection , 1999, COLT '99.
[14] Alexander J. Smola,et al. Advances in Large Margin Classifiers , 2000 .
[15] N. Abe,et al. Polynomial Learnability of Stochastic Rules with Respect to the KL-Divergence and Quadratic Distance , 2001 .
[16] J. Lafferty. Additive models, boosting, and inference for generalized divergences , 1999, COLT '99.
[17] Yoav Freund,et al. An Adaptive Version of the Boost by Majority Algorithm , 1999, COLT '99.
[18] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[19] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1995, COLT '90.
[20] Gunnar Rätsch,et al. Efficient Margin Maximizing with Boosting , 2005, J. Mach. Learn. Res..
[21] Alexander J. Smola,et al. Bundle Methods for Machine Learning , 2007, NIPS.
[22] Cynthia Rudin,et al. The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins , 2004, J. Mach. Learn. Res..
[23] Gunnar Rätsch,et al. Robust Ensemble Learning , 2000 .
[24] Dale Schuurmans,et al. Boosting in the Limit: Maximizing the Margin of Learned Ensembles , 1998, AAAI/IAAI.
[25] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[26] Cynthia Rudin,et al. Boosting Based on a Smooth Margin , 2004, COLT.
[27] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.