{
  "id": "cond-mat/0006251",
  "version": "v1",
  "published": "2000-06-15T11:38:56.000Z",
  "updated": "2000-06-15T11:38:56.000Z",
  "title": "Mean-field theory of learning: from dynamics to statics",
  "authors": [
    "K. Y. Michael Wong",
    "S. Li",
    "Peixun Luo"
  ],
  "comment": "13 pages, 5 figures, to appear in \"Advanced Mean Field Methods - Theory and Practice\", edited by M. Opper and D. Saad, MIT Press",
  "categories": [
    "cond-mat.dis-nn"
  ],
  "abstract": "Using the cavity method and diagrammatic methods, we model the dynamics of batch learning of restricted sets of examples. Simulations of the Green's function and the cavity activation distributions support the theory well. The learning dynamics approaches a steady state in agreement with the static version of the cavity method. The picture of the rough energy landscape is reviewed.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2000-06-15T11:38:56.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "mean-field theory",
      "cavity activation distributions support",
      "cavity method",
      "rough energy landscape",
      "steady state"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 13,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2000cond.mat..6251W"
    }
  }
}