Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces (2000)

by Gunnar Rätsch , Ayhan Demiriz , Kristin Bennett
Citations:18 - 9 self

Documents Related by Co-Citation

2307 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1997
8950 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
138 Prediction Games and Arcing Algorithms – Leo Breiman - 1997
21 ªSparse Regression Ensembles in Infinite and Finite Hypothesis Spaces,º – G RaÈtsch, A Demiriz, K Bennett - 2002
33 A Column Generation Algorithm For Boosting – Kristin P. Bennett, Ayhan Demiriz, Kristin P. Bennett Bennekrpi. Edu, Ayhan Demiriz Demirarpi. Edu - 2000
2029 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003
109 Semi-infinite programming: theory, methods, and applications – R Hettich, K O Kortanek - 1993
21 Robust boosting via convex optimization – G Rätsch - 2001
101 Linear programming boosting via column generation – Kristin P. Bennett - 2002
256 Soft Margins for AdaBoost – Gunnar Rätsch, Takashi Onoda, Klaus-R. Müller - 1998
563 Greedy Function Approximation: A Gradient Boosting Machine – Jerome H. Friedman - 2000
90 Linear and Nonlinear Programming – S Nash, A Sofer - 1996
1010 Fast training of support vector machines using sequential minimal optimization – J Platt - 1999
58 Boosting as Entropy Projection – Jyrki Kivinen, Manfred K. Warmuth - 1999
1625 Experiments with a New Boosting Algorithm – Yoav Freund, Robert E. Schapire - 1996
60 The design and analysis of efficient learning algorithms – R E Schapire
721 Boosting the margin: A new explanation for the effectiveness of voting methods – Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee - 1997
110 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
138 A statistical framework for genomic data fusion – Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble - 2004