|
1714
|
A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting
– Yoav Freund, Robert E. Schapire
- 1997
|
|
1325
|
Experiments with a New Boosting Algorithm
– Yoav Freund, Robert E. Schapire
- 1996
|
|
556
|
The Weighted Majority Algorithm
– Nick Littlestone, Manfred K. Warmuth
- 1994
|
|
267
|
How to Use Expert Advice
– Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth
- 1997
|
|
1491
|
Support-Vector Networks
– Corinna Cortes, Vladimir Vapnik
- 1995
|
|
606
|
Boosting the margin: A new explanation for the effectiveness of voting methods
– Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee
- 1997
|
|
933
|
A training algorithm for optimal margin classifiers
– Bernhard E. Boser, et al.
- 1992
|
|
6698
|
Statistical Learning Theory
– V N Vapnik
- 1998
|
|
896
|
Additive Logistic Regression: a Statistical View of Boosting
– Jerome Friedman, Trevor Hastie, Robert Tibshirani
- 1998
|
|
358
|
Boosting a Weak Learning Algorithm By Majority
– Yoav Freund
- 1995
|
|
554
|
The strength of weak learnability
– Robert E. Schapire
- 1990
|
|
106
|
Adaptive Game Playing Using Multiplicative Weights
– Yoav Freund, Robert E. Schapire
|
|
251
|
Bagging, Boosting, and C4.5
– J. R. Quinlan
- 1996
|
|
56
|
Arcing The Edge
– Leo Breiman
- 1997
|
|
86
|
A Game of Prediction with Expert Advice
– V. Vovk, V. Vovk
- 1997
|
|
1998
|
Bagging Predictors
– Leo Breiman, Leo Breiman
- 1996
|
|
144
|
Gambling in a rigged casino: The adversarial multi-armed bandit problem
– Peter Auer, Yoav Freund, Robert E. Schapire
- 1995
|
|
80
|
An empirical evaluation of bagging and boosting
– Richard Maclin
- 1997
|
|
2529
|
C.J.E.: Uci repository of machine learning databases, http://www.ics.uci.edu/ ∼ mlearn/MLRepository.html
– C L Blake, Keogh
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