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A Short Introduction to Boosting (1999)

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by Yoav Freund , Robert E. Schapire
Citations:435 - 5 self
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BibTeX

@MISC{Freund99ashort,
    author = {Yoav Freund and Robert E. Schapire},
    title = { A Short Introduction to Boosting},
    year = {1999}
}

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Abstract

Citations

6694 Statistical Learning Theory - Vapnik - 1998
4071 C4.5: Programs for machine learning - Quinlan - 1993
2529 C.J.E.: Uci repository of machine learning databases, http://www.ics.uci.edu/ ∼ mlearn/MLRepository.html - Blake, Keogh
1714 Schapire R: A decision-theoretic generalization of online learning and an application to boosting - Freund - 1997
1515 A Theory of the Learnable - Valiant - 1984
1491 Support-vector networks - Cortes, Vapnik - 1995
1325 Experiments with a new boosting algorithm - Freund, Schapire - 1996
933 A training algorithm for optimal margin classifiers - Boser, Guyon, et al. - 1992
896 Additive logistic regression: a statistical view of boosting - Friedman, Hastie, et al. - 2000
800 Fast effective rule induction - Cohen - 1995
606 W: Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. The Annals of Statistics - Schapire, Freund, et al. - 1998
565 Learnability and the Vapnik Chervonenkis dimension - Blumer, Ehrenfeucht, et al. - 1989
561 Y: Improved boosting algorithms using confidence-rated predictions - RE, Singer - 1999
554 The strenght of weak learnability - Schapire - 1990
507 An Introduction to Computational Learning Theory - Kearns, Vazirani - 1994
449 Kohavi R: An empirical comparison of voting classification algorithms - Bauer - 1999
383 An efficient boosting algorithm for combining preferences - Freund, Iyer, et al. - 1998
373 BoosTexter: A boosting-based system for text categorization.” Machine learning 39.2 - Schapire, Singer - 2000
364 An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting and randomization - Dietterich
358 Boosting a weak learning algorithm by majority - Freund - 1995
296 What size net gives valid generalization - Baum, Haussler - 1989
279 Cryptographic limitations on learning boolean formulae and finite automata - Kearns, Valiant - 1994
251 Bagging, boosting, and C4.5 - Quinlan - 1996
232 Arcing classifiers - Breiman - 1998
156 The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network - Bartlett
117 Game theory, On-line Prediction and Boosting - Freund, Schapire - 1996
106 Adaptive game playing using multiplicative weights - Freund, Schapire - 1999
101 Incremental Reduced Error Pruning - Fürnkranz, Widmer - 1994
96 L: The alternating decision tree learning algorithm - Freund, Mason - 1999
81 Boosting decision trees - Drucker, H, et al. - 1996
80 An empirical evaluation of bagging and boosting - Maclin, Opitz - 1997
80 Y.: A simple, fast and effective rule learner - Cohen, Singer - 1999
78 Using output codes to boost multiclass learning problems - Schapire - 1997
71 Boosting performance in neural networks - Drucker, Schapire, et al. - 1993
65 An adaptive version of the boost by majority algorithm - Freund - 2000
62 Boosting applied to tagging and PP attachment - Abney, Schapire, et al. - 1999
56 Arcing the edge - Breiman, L - 1997
47 Dietterich and Ghulum Bakiri. Solving multiclass learning problems via error-correcting output codes - Thomas - 1995
46 what size net gives valid generalization . Neural Computation - Baum, Huassler - 1989
32 Prediction games and arcing classifiers - Breiman - 1999
25 Direct optimization of margins improves generalization in combined classifiers - Mason, Bartlett, et al. - 1998
25 Learning boolean formulae or finite automata is as hard as factoring - Kearns, Valiant - 1988
23 Training methods for adaptive boosting of neural networks - Schwenk, Bengio - 1998
21 Drifting games - Schapire - 2001
20 and M.W.Craven. Learning sparse perceptrons - Jackson - 1996
19 An empirical comparison of voting classi cation algorithms - Bauer, Kohavi - 1999
19 Boosting the margin : A new explanation for the e ectiveness of voting methods. Annals of Statistics - Schapire, Freund, et al. - 1998
16 Amit Singhal. Boosting and Rocchio applied to text filtering - Schapire, Singer - 1998
15 Improved boosting algorithms using con dence-rated predictions - Schapire, Singer - 1998
13 Arcing classi ers - Breiman - 1998
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