Optimal Linear Combination of Classifiers

• URL: http://arxiv.org/abs/2103.01109v1
• Date: Mon, 1 Mar 2021 16:21:40 GMT
• Title: Optimal Linear Combination of Classifiers
• Authors: Georgi Nalbantov, Svetoslav Ivanov
• Abstract summary: 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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