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 <rdf:Description>
  <dc:title>Oblique Random Forests from Recursive Linear Model Splits</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (http://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Random forest with oblique decision trees for binary
classification tasks. Discriminative node models in the tree
are based on: ridge regression, partial least squares
regression, logistic regression, linear support vector
machines, or random coefficients.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.0.0), stats, ROCR, pls, mda, e1071</dc:relation>
  <dc:creator>Bjoern Menze &lt;menze@csail.mit.edu&gt; and D.N. Splitthoff
&lt;nico.splitthoff@gmx.de&gt;</dc:creator>
  <dc:contributor>Bjoern Menze and Nico Splitthoff</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2011-09-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=obliqueRF</dc:identifier>
 </rdf:Description>
</rdf:RDF>

