<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Kernel Factory: An Ensemble of Kernel Machines</dc:title>
  <dc:title>R package kernelFactory version 0.3.0</dc:title>
  <dc:description>Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: randomForest, AUC, genalg, kernlab, stats</dc:relation>
  <dc:creator>Michel Ballings &lt;Michel.Ballings@GMail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Michel Ballings, Dirk Van den Poel</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2015-09-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=kernelFactory</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.kernelFactory</dc:identifier>
</oai_dc:dc>
