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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">DEMO_SVMPOUT</b><td valign="baseline" align="right" class="function"><a href="../demos/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table> <p><b>Fitting a posteriory probability to SVM output.</b></p> <hr><div class='code'><code><span class=help></span><br><span class=help> A posteriory probability p(y==1|f(x)) of the first class</span><br><span class=help> given SVM output f(x) is assumed to be sigmoid function. </span><br><span class=help> Parameters A(1) and A(2) of the sigmoid function </span><br><span class=help> p(y==1|f(x)) = 1/(1+exp(A(1)*f(x)+A(2)) </span><br><span class=help> are estimated using Maximum-Likelihood [<a href="../references.html#Platt99a" title = "" >Platt99a</a>]. </span><br><span class=help></span><br><span class=help> The Gaussian mixture model (GMM) is fitted to the SVM output</span><br><span class=help> and the a posteriory probability are computed for </span><br><span class=help> comparison to the ML estimate.</span><br><span class=help> </span><br><span class=help> The ML estimation of the sigmoid function is imlemented </span><br><span class=help> in 'mlsigmoid' (see 'help mlsigmoid' for more info).</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../demos/list/demo_svmpout.html">demo_svmpout.m</a> <p><b class="info_field">About: </b> Statistical Pattern Recognition Toolbox<br> (C) 1999-2003, 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> 03-jun-2004, VF<br> 6-May-2003, VF<br></body></html>⌨️ 快捷键说明
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