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SVM code for article: Analysis of transcranial magnetic stimulation for object naming with machine learning classification shows reorganisation patterns in tumor patients.

Ziqian Wang; Lucius Samo Fekonja; Felix Dreyer; Peter Vajkoczy; Thomas Picht


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3727664", 
  "language": "eng", 
  "title": "SVM code for article: Analysis of transcranial magnetic stimulation for object naming with machine learning classification shows reorganisation patterns in tumor patients.", 
  "issued": {
    "date-parts": [
      [
        2020, 
        3, 
        26
      ]
    ]
  }, 
  "abstract": "<p>Here we publish the&nbsp;SVM code used in our&nbsp;<em>analysis of transcranial magnetic stimulation for object naming with machine learning classification shows reorganisation patterns in tumor patients</em> article.</p>\n\n<p>&nbsp;</p>\n\n<p>The SVM code is modified after faruto and liyang,&nbsp;<a href=\"https://github.com/faruto/Libsvm-FarutoUltimate-Version/blob/master/Libsvm-FarutoUltimate%20V3.1/matlab-implement%5Bby%20faruto%5D/SVR_test.m\">Libsvm-FarutoUltimate-Version</a>.</p>", 
  "author": [
    {
      "family": "Ziqian Wang"
    }, 
    {
      "family": "Lucius Samo Fekonja"
    }, 
    {
      "family": "Felix Dreyer"
    }, 
    {
      "family": "Peter Vajkoczy"
    }, 
    {
      "family": "Thomas Picht"
    }
  ], 
  "note": "The authors acknowledge the support of the Cluster of Excellence Matters of Activity. Image Space Material funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u00b4s Excellence Strategy \u2013 EXC 2025.", 
  "version": "1.0", 
  "type": "article", 
  "id": "3727664"
}
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