{
  "id": "0812.3145",
  "version": "v2",
  "published": "2008-12-16T20:41:06.000Z",
  "updated": "2008-12-16T21:05:28.000Z",
  "title": "Binary Classification Based on Potentials",
  "authors": [
    "Erik Boczko",
    "Andrew DiLullo",
    "Todd Young"
  ],
  "comment": "5 pages, 2 figures. Presented at the Ohio Collaborative Conference on Bioinformatics (OCCBIO) June 2006",
  "categories": [
    "cs.LG"
  ],
  "abstract": "We introduce a simple and computationally trivial method for binary classification based on the evaluation of potential functions. We demonstrate that despite the conceptual and computational simplicity of the method its performance can match or exceed that of standard Support Vector Machine methods.",
  "revisions": [
    {
      "version": "v2",
      "updated": "2008-12-16T21:05:28.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "binary classification",
      "standard support vector machine methods",
      "potential functions",
      "computationally trivial method",
      "computational simplicity"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 5,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2008arXiv0812.3145B"
    }
  }
}