Direct Optimization of Margins Improves Generalization in Combined Classifiers

Direct Optimization of Margins Improves Generalization in Combined Classifiers (1998)

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by Llew Mason , Peter Bartlett , Jonathan Baxter

Venue:	Advances in Neural Information Processing Systems
Citations:	25 - 1 self

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@TECHREPORT{Mason98directoptimization,
    author = {Llew Mason and Peter Bartlett and Jonathan Baxter},
    title = {Direct Optimization of Margins Improves Generalization in Combined Classifiers},
    institution = {Advances in Neural Information Processing Systems},
    year = {1998}
}

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Abstract

Sonar Cumulative training margin distributions for AdaBoost versus our "Direct Optimization Of Margins" (DOOM) algorithm.

Citations

2529	C.J.E.: Uci repository of machine learning databases, http://www.ics.uci.edu/ ∼ mlearn/MLRepository.html - Blake, Keogh
606	W: Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods. The Annals of Statistics - Schapire, Freund, et al. - 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
113	Prediction games and arcing algorithms - Breiman - 1997
90	Boosting in the limit: Maximizing the margin of learned ensembles - Grove, Schuurmans - 1998
52	Improved generalization through explicit optimization of margins - Mason, Bartlett, et al. - 1999
11	The sample complexity of pattern classi cation with neural networks: the size of the weights is more important than the size of the network - Bartlett - 1998
2	Boosting the margin: A new explanation for the e ectivenessofvoting methods - Schapire, Freund, et al. - 1997