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Boosting, Voting Classifiers and Randomized Sample Compression Schemes

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Arthur da Cunha, Kasper Green Larsen, Martin Ritzert

Topics

Machine Learning > Core Methods > Classification Machine Learning > Optimization & Theory > Learning Theory

Keywords

boosting generalization error sample compression subsampling weak learner voting classifier
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