Identifying the most Informative Variables for Decision-Making Problems - a Survey of Recent Approaches and Accompanying Problems

We provide an overview of problems related to variable selection (also known as feature selection) techniques in decision-making problems based on machine learning with a particular emphasis on recent knowledge. Several popular methods are reviewed and assigned to a taxonomical context. Issues related to the generalization-versus-performance trade-off, inherent in currently used variable selection approaches, are addressed and illustrated on real-world examples.

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Year of publication:	2008
Authors:	Pudil, Pavel ; Somol, Petr
Published in:	Acta Oeconomica Pragensia. - Vysoká Škola Ekonomická v Praze, ISSN 1805-4951. - Vol. 2008.2008, 4, p. 37-55
Publisher:	Vysoká Škola Ekonomická v Praze
Subject:	variable selection \| feature selection \| machine learning \| decision rules \| classification

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Extent:	text/html
Type of publication:	Article
Language:	English
Classification:	C60 - Mathematical Methods and Programming. General ; C80 - Data Collection and Data Estimation Methodology; Computer Programs. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10004963511