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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">RSRBF</b><td valign="baseline" align="right" class="function"><a href="../kernels/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table> <p><b>Redused Set Method for RBF kernel expansion.</b></p> <hr><div class='code'><code><span class=help></span><br><span class=help> <span class=help_field>Synopsis:</span></span><br><span class=help> red_model = rsrbf(model)</span><br><span class=help> red_model = rsrbf(model,options)</span><br><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> red_model = rsrbf(model) searchs for a kernel expansion</span><br><span class=help> with nsv vectors which best approximates the input </span><br><span class=help> expansion given in model [<a href="../references.html#Schol98a" title = "" >Schol98a</a>]. The Radial Basis </span><br><span class=help> kernel (RBF) is assumed (see 'help kernel').</span><br><span class=help> </span><br><span class=help> red_model = rsrbf(model,options) allows to specify the </span><br><span class=help> control paramaters.</span><br><span class=help></span><br><span class=help> <span class=help_field>Input:</span></span><br><span class=help> model [struct] Kernel expansion:</span><br><span class=help> .Alpha [nsv x 1] Weight vector.</span><br><span class=help> .sv.X [dim x nsv] Vectors defining the expansion.</span><br><span class=help> .options.ker [string] Must be equal to 'rbf'.</span><br><span class=help> .options.arg [1x1] Kernel argument (see 'help kernel').</span><br><span class=help> </span><br><span class=help> options [struct] Control parameters:</span><br><span class=help> .nsv [1x1] Desired number of vectors in the reduced </span><br><span class=help> expansion (default round(length(model.Alpha)/2)).</span><br><span class=help> .eps [1x1] Desier limit on the norm of difference between </span><br><span class=help> the original normal vector and the reduced the normal </span><br><span class=help> vector in the feature space. The algorithm is stopped </span><br><span class=help> when a lower difference is achived (default 1e-6).</span><br><span class=help> .preimage [string] Function called to solve the RBF pre-image </span><br><span class=help> problem (default 'rbfpreimg');</span><br><span class=help> .verb [1x1] If 1 then progress info is display (default 0).</span><br><span class=help> </span><br><span class=help> <span class=help_field>Output:</span></span><br><span class=help> red_model [struct] Reduced kernel expansion.</span><br><span class=help></span><br><span class=help> <span class=help_field>Example:</span></span><br><span class=help> trn = load('riply_trn');</span><br><span class=help> model = smo(trn,struct('ker','rbf','arg',1,'C',10));</span><br><span class=help> red_model = rsrbf(model,struct('nsv',10));</span><br><span class=help> figure; ppatterns(trn);</span><br><span class=help> h1 = pboundary(model,struct('line_style','r'));</span><br><span class=help> h2 = pboundary(red_model,struct('line_style','b'));</span><br><span class=help> legend([h1(1) h2(1)],'Original SVM','Reduced SVM');</span><br><span class=help></span><br><span class=help> <span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also> <a href = "../kernels/preimage/rbfpreimg.html" target="mdsbody">RBFPREIMG</a>.</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../kernels/list/rsrbf.html">rsrbf.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> 11-oct-2004, VF, knorm.m used <br> 21-sep-2004, VF<br> 10-jun-2004, VF<br> 02-dec-2003, VF<br></body></html>?? 快捷鍵說明
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