<?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>Evidential Distance-Based Classification</dc:title>
  <dc:title>R package evclass version 2.0.2</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Different evidential classifiers, which provide
    outputs in the form of Dempster-Shafer mass functions. The methods are: 
    the evidential K-nearest neighbor rule, the evidential neural 
    network, radial basis function neural networks, logistic regression,
    feed-forward neural networks.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.0)</dc:relation>
  <dc:relation>Imports: FNN, ibelief, R.utils</dc:relation>
  <dc:relation>Suggests: knitr,rmarkdown,datasets,stats,nnet</dc:relation>
  <dc:creator>Thierry Denoeux &lt;tdenoeux@utc.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Thierry Denoeux</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2023-11-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=evclass</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.evclass</dc:identifier>
</oai_dc:dc>
