Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
—This paper describes an evolutionary music composition system that combines trainable music critics with a bag of notes constraint. Unlike many evolutionary composition systems,...
s from Biomedical Abstracts Patrick Rucha , Celia Boyer c , Christine Chichesterb , Imad Tbahritiab Antoine Geissbühlera , Paul Fabrya , Julien Gobeilla , Violaine Pilletab , Diet...
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...