<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=22463"><dc:title>Dimensionality reduction methods</dc:title><dc:creator>D'Ambra,	Luigi	(Avtor)
	</dc:creator><dc:creator>Amenta,	Pietro	(Avtor)
	</dc:creator><dc:creator>Gallo,	Michele	(Avtor)
	</dc:creator><dc:description>In case one or more sets of variables are available, the use of dimensional reduction methods could be necessary. In this contest, after a review on the link between the Shrinkage Regression Methods and Dimensional Reduction Methods, authors provide a different multivariate extension of the Garthwaite's PLS approach (1994) where a simple linear regression coefficients framework could be given for several dimensional reduction methods.</dc:description><dc:date>2005</dc:date><dc:date>2014-07-11 14:26:44</dc:date><dc:type>Delo ni kategorizirano</dc:type><dc:identifier>22463</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
