{
  "id": 893,
  "title": "Stanford Lectures on UnSupervised Feature Learning and Deep Learning",
  "url": "/competitions/SemiSupervisedFeatureLearning/discussion/893",
  "author_name": "",
  "post_date": "2011-09-28T05:21:16.480Z",
  "votes": null,
  "comment_count": 5,
  "views": 4424,
  "content": "<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>For those of you are as confused as me as to what this topic is about....</p>\r\n<p>Heres a lecture from stanford which might be useful...&nbsp;</p>\r\n<p><a href=\"http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl\">http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl</a></p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>",
  "messages": [
    {
      "id": "5698",
      "postDate": "09/28/2011 05:21:16",
      "content": "<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>For those of you are as confused as me as to what this topic is about....</p>\r\n<p>Heres a lecture from stanford which might be useful...&nbsp;</p>\r\n<p><a href=\"http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl\">http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl</a></p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5706",
      "postDate": "09/28/2011 09:43:30",
      "content": "<ul>\r\n<li><a href=\"http://astro.temple.edu/~alan/MMST/index.html\">Izenman, A.J., <em>Modern Multivariate Statistical Techniques</em></a>\r\n</li><li><a href=\"http://jmlr.csail.mit.edu/papers/volume3/guyon03a/guyon03a.pdf\">Guyon, I. &amp; Elisseeff, A.,\r\n<em>An Introduction to Variable and Feature Selection</em> </a></li><li><a href=\"http://featureselection.asu.edu/software.php\">Feature Selection at Arizona State University</a>\r\n</li></ul>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5721",
      "postDate": "09/28/2011 18:57:36",
      "content": "<p>Aniket and George: I'm not sure these are great references. None of them discuss semi-supervised learning. Note that variable selection is really quite a difference task.\r\n</p>\r\n<p>Here's a nice summary of the field: http://www.cs.wisc.edu/~jerryzhu/pub/ssl_survey.pdf</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5722",
      "postDate": "09/28/2011 19:09:33",
      "content": "<p>This wikipedia article is pretty good for an overview of dimensionality reduction methods, many of which can be applied in this problem space:</p>\r\n<p>http://en.wikipedia.org/wiki/Dimension_reduction</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5723",
      "postDate": "09/28/2011 19:18:54",
      "content": "<p>There's also a nice set of papers on the topic of transfer learning from a recent competition along similar lines, posted here:</p>\r\n<p>http://clopinet.com/isabelle/Projects/ICML2011/home.html#Links</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5730",
      "postDate": "09/29/2011 05:28:46",
      "content": "",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 5706,
      "author_name": "george11",
      "author_url": "",
      "post_date": "09/28/2011 09:43:30",
      "content": "<ul>\r\n<li><a href=\"http://astro.temple.edu/~alan/MMST/index.html\">Izenman, A.J., <em>Modern Multivariate Statistical Techniques</em></a>\r\n</li><li><a href=\"http://jmlr.csail.mit.edu/papers/volume3/guyon03a/guyon03a.pdf\">Guyon, I. &amp; Elisseeff, A.,\r\n<em>An Introduction to Variable and Feature Selection</em> </a></li><li><a href=\"http://featureselection.asu.edu/software.php\">Feature Selection at Arizona State University</a>\r\n</li></ul>",
      "votes": null,
      "replies": []
    },
    {
      "id": 5721,
      "author_name": "jhoward",
      "author_url": "",
      "post_date": "09/28/2011 18:57:36",
      "content": "<p>Aniket and George: I'm not sure these are great references. None of them discuss semi-supervised learning. Note that variable selection is really quite a difference task.\r\n</p>\r\n<p>Here's a nice summary of the field: http://www.cs.wisc.edu/~jerryzhu/pub/ssl_survey.pdf</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 5722,
      "author_name": "argv",
      "author_url": "",
      "post_date": "09/28/2011 19:09:33",
      "content": "<p>This wikipedia article is pretty good for an overview of dimensionality reduction methods, many of which can be applied in this problem space:</p>\r\n<p>http://en.wikipedia.org/wiki/Dimension_reduction</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 5723,
      "author_name": "argv",
      "author_url": "",
      "post_date": "09/28/2011 19:18:54",
      "content": "<p>There's also a nice set of papers on the topic of transfer learning from a recent competition along similar lines, posted here:</p>\r\n<p>http://clopinet.com/isabelle/Projects/ICML2011/home.html#Links</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 5730,
      "author_name": "george11",
      "author_url": "",
      "post_date": "09/29/2011 05:28:46",
      "content": "",
      "votes": null,
      "replies": []
    }
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