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  <title><![CDATA[Computer System Consistently Makes Most Accurate NCAA Picks]]></title>
  <body><![CDATA[<p>
</p><p><em>SmartMoney.com</em> - April 3, 2008 (Fox Business)<br />Sports professionals and fans get pretty emotional about their picks for the NCAA basketball tournament each year, and that emotion often clouds their judgment. But three engineering professors at the Georgia Tech have created a computer ranking system, called LRMC, that consistently predicts NCAA basketball rankings more accurately than the AP poll of sportswriters and the ESPN/USA Today poll of coaches, formulas (the Ratings Percentage Index), other computer models (the Massey ratings and the Sagarin ratings), and even the tournament seeds themselves... RMC (Logistic Regression Markov Chain) is a college basketball rankings system designed to use only basic scoreboard data, including which teams played, which team had home court advantage and the margin of victory. It was originally designed by Joel Sokol and Paul Kvam and has been maintained and improved by Sokol and George Nemhauser, all three optimization and statistics professors in the Stewart School of Industrial and Systems Engineering at Georgia Tech<br /><a href="http://www.smartmoney.com/news/pr/index.cfm?story=PR-20080403-001753-1223">http://www.smartmoney.com/news/pr/index.cfm?story=PR-20080403-001753-1223</a></p>]]></body>
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      <value>2008-04-03T00:00:00-04:00</value>
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      <email><![CDATA[bchristopher@isye.gatech.edu]]></email>
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      <value><![CDATA[<strong>Barbara Christopher</strong><br />Industrial and Systems Engineering<br /><a href="http://www.gatech.edu/contact/index.html?id=bt3">Contact Barbara Christopher</a><br /><strong>404.385.3102</strong>]]></value>
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