Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs

In this paper we propose a method for scaling up filterbased feature selection in classification problems. We use the conditional mutual information as filter measure and show how the required statistics can be computed in parallel avoiding unnecessary calculations. The distribution of the calculat...

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Bibliographic Details
Main Authors: Salmerón Cerdán, Antonio, Madsen, Anders L., Jensen, Frank, Langseth, Helge, Nielsen, Thomas D., Ramos López, Darío, Martínez, Ana M., Masegosa, Andrés R.
Format: info:eu-repo/semantics/article
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10835/4916