Optimal Linear Combination of Classifiers

2021/03/01 by Georgi Nalbantov, Nalbantov, Georgi, Svetoslav Ivanov +1
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications

paper · pdf · doi:10.48550/arxiv.2103.01109

openalex publication_date 2021/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• A Note on Posterior Probability Estimation for Classifiers

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