Active Bibliography

110 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
5 Maximum entropy density estimation and modeling geographic distributions of species – Miroslav Dudík - 2007
58 Boosting as Entropy Projection – Jyrki Kivinen, Manfred K. Warmuth - 1999
41 Constructing Boosting Algorithms from SVMs: An Application to One-class Classification – Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller - 2002
564 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
50 Theoretical Views of Boosting and Applications – Robert E. Schapire - 1999
419 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers – Erin L. Allwein, Robert E. Schapire, Yoram Singer, Pack Kaelbling - 2000
17 The Latent Maximum Entropy Principle – Shaojun Wang, Dale Schuurmans, Yunxin Zhao - 2002
268 Discriminative Reranking for Natural Language Parsing – Michael Collins, Terry Koo - 2005
19 Barrier Boosting – Gunnar Rätsch, Manfred Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller
6 SVM and Boosting: One Class – Gunnar Rätsch, Bernhard Schökopf, Sebastian Mika, Klaus-Robert Müller
39 Additive Models, Boosting, and Inference for Generalized Divergences – John Lafferty - 1999
10 On the convergence of leveraging – Gunnar Rätsch, Sebastian Mika, Manfred K. Warmuth - 2002
1 OPTIMIZATION FOR SPARSE AND ACCURATE CLASSIFIERS – Noam Goldberg - 2010
23 A Geometric Approach to Leveraging Weak Learners – Nigel Duffy, David Helmbold - 1998
20 Potential Boosters? – Nigel Duffy, David Helmbold - 2000
24th Annual Conference on Learning Theory The Rate of Convergence of Adaboost – Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire, Sham Kakade, Ulrike Von Luxburg
256 Soft Margins for AdaBoost – Gunnar Rätsch, Takashi Onoda, Klaus-R. Müller - 1998
3 A General Framework for Learning an Ensemble of Decision Rules – Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński