Optimal Linear Combination of Classifiers

03/01/2021

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The question of whether to use one classifier or a combination of classifiers is a central topic in Machine Learning. We propose here a method for finding an optimal linear combination of classifiers derived from a bias-variance framework for the classification task.

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Optimal Linear Combination of Classifiers

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Optimal Linear Combination of Classifiers

Related Research

Learning Mixtures of Linear Classifiers

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SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers

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