Optimal Linear Combination of Classifiers

Autor:	Nalbantov, Georgi, Ivanov, Svetoslav
Rok vydání:	2021
Předmět:	Computer Science - Machine Learning Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: 14 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2103.01109 Zobrazit plný text záznamu View this record from Arxiv