Optimal Linear Combination of Classifiers
Machine Learning
2021-03-02 v1 Artificial Intelligence
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.
Cite
@article{arxiv.2103.01109,
title = {Optimal Linear Combination of Classifiers},
author = {Georgi Nalbantov and Svetoslav Ivanov},
journal= {arXiv preprint arXiv:2103.01109},
year = {2021}
}
Comments
14 pages, 7 figures