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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../../stpr.css"></head><body><table border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">TUNE_OCR</b><td valign="baseline" align="right" class="function"><a href="../../demos/ocr/index.html" target="mdsdir"><img border = 0 src="../../up.gif"></a></table> <p><b>Tunes SVM classifier for OCR problem.
</b></p> <hr><div class='code'><code><span class=help>
</span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> The following steps are performed:
</span><br><span class=help> - Training set is created from data in directory ExamplesDir.
</span><br><span class=help> - Multi-class SVM is trained for a set of arguments and
</span><br><span class=help> regularization constants. The best model is selected
</span><br><span class=help> based on the cross-validation error.
</span><br><span class=help>
</span><br></code></div> <hr> <b>Source:</b> <a href= "../../demos/ocr/list/tune_ocr.html">tune_ocr.m</a> <p><b class="info_field">(c) </b> Statistical Pattern Recognition Toolbox, (C) 1999-2003,
<br> Written by Vojtech Franc and Vaclav Hlavac,
<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a>,
<br> <a href="http://www.feld.cvut.cz">Faculty of Electrical engineering</a>,
<br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a>
<br> <p><b class="info_field">Modifications: </b>
<br> 04-jun-2004, VF
<br> 09-sep-2003, VF
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