title: Nonextensive maximum-entropy-based formalism for data subset selection.
abstract: A method for data subset selection, which is based on the q=1 / 2 maximum information measure formalism, is proposed. The method evolves iteratively by selecting, at each iteration, the measure yielding a q=1 / 2 distribution capable of making predictions minimizing the Euclidean distance to the available data.
authors.affiliation: NCRG, Aston University, Birmingham B4 7ET, United Kingdom.
authors.forename: L
authors.initials: L
authors.lastname: Rebollo-Neira
authors.forename: A
authors.initials: A
authors.lastname: Plastino