Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Novel Methods for the Feature Subset Ensembles Approach Mohamed A. Aly

Summary: Novel Methods for the Feature Subset Ensembles Approach
Mohamed A. Aly
Electrical Engineering, Caltech, Pasadena, CA 91125
Amir F. Atiya
Dept Computer Engineering, Cairo University, Giza, Egypt
Ensemble learning technique attracted much attention in
the past few years. Instead of using a single prediction
model, this approach utilizes a number of diverse accu-
rate prediction models to do the job. Many methods have
been proposed to build such accurate diverse ensembles, of
which bagging and boosting were the most popular. An-
other method, called Feature Subset Ensembles FSE, is
thoroughly investigated in this work. This technique builds
ensembles by assigning each individual prediction model
in the ensemble a distinct feature subset from the pool of
available features. In this paper several novel variations
to the basic FSE are proposed. Extensive comparisons are


Source: Abu-Mostafa, Yaser S. - Department of Mechanical Engineering & Computer Science Department, California Institute of Technology


Collections: Computer Technologies and Information Sciences