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<html><head><title>Netlab Reference Manual gpcovarf</title></head><body><H1> gpcovarf</H1><h2>Purpose</h2>Calculate the covariance function for a Gaussian Process.<p><h2>Synopsis</h2><PRE>covf = gpcovarf(net, x1, x2)</PRE><p><h2>Description</h2><p><CODE>covf = gpcovarf(net, x1, x2)</CODE> takes a Gaussian Process data structure <CODE>net</CODE> together withtwo matrices <CODE>x1</CODE> and <CODE>x2</CODE> of input vectors, and computes the matrix of the covariance function values<CODE>covf</CODE>. <p><h2>See Also</h2><CODE><a href="gp.htm">gp</a></CODE>, <CODE><a href="gpcovar.htm">gpcovar</a></CODE>, <CODE><a href="gpcovarp.htm">gpcovarp</a></CODE>, <CODE><a href="gperr.htm">gperr</a></CODE>, <CODE><a href="gpgrad.htm">gpgrad</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
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