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Publication:2896111
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zbMath1242.68003MaRDI QIDQ2896111

Christian Widmer, Sören Sonnenburg, Alexander Zien, Christian Gehl, Sebastian Henschel, Fabio de Bona, Alexander Binder, Jonas Behr, Vojtěch Franc, Gunnar Rätsch

Publication date: 13 July 2012

Full work available at URL: http://www.jmlr.org/papers/v11/sonnenburg10a.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

Rkernelssupport vector machineslarge-scale learningPythonOctave


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Software, source code, etc. for problems pertaining to computer science (68-04)


Related Items

Large-scale optimization with the primal-dual column generation method, V-shaped interval insensitive loss for ordinal classification, Unnamed Item, Stream-based extreme learning machine approach for big data problems, SHOGUN


Uses Software

  • Matlab
  • Octave
  • R
  • Python


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