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UCI Repository of machine learning databases
(1998)
by C L Blake, C J Merz
University of California, Irvine, Dept
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Wrappers for Feature Subset Selection
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Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
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Improved Boosting Algorithms Using Confidence-rated Predictions
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An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
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On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
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On Estimation of a Probability Density Function and Mode
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A Short Introduction to Boosting
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Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods
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An experimental comparison of three methods for constructing ensembles of decision trees
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The Infinite Hidden Markov Model
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