Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles-Reference-Cited by-同舟云学术

Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles

Published:2018-01 Issue: Volume:67 Page:270-282
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Cervantes Bárbara,Monroy Raúl,Medina-Pérez Miguel Angel,Gonzalez-Mendoza Miguel,Ramirez-Marquez Jose

Funder

CONACYT

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

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