Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods

As a previous step to machine learning (ML) induced classifiers, attribute subset selection methods have become an efficient alternative for reducing the dimensionality of the search space, with obvious benefits to the learning techniques used. This paper investigates the problem of feature subset s...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Santoro, D.M., Hruschska, E.R., do Carmo Nicoletti, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data mining DistAl feature subset selection filter Filters Gain measurement Genetic algorithms Learning systems Machine learning Machine learning algorithms Nearest neighbor searches Neural networks Time measurement wrapper
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!