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<html><head><title>Netlab Reference Manual demgpot</title></head><body><H1> demgpot</H1><h2>Purpose</h2>Computes the gradient of the negative log likelihood for a mixture model.<p><h2>Synopsis</h2><PRE>g = demgpot(x, mix)</PRE><p><h2>Description</h2>This function computes the gradient of the negative log of the unconditional datadensity <CODE>p(x)</CODE> with respect to the coefficients of thedata vector <CODE>x</CODE> for a Gaussian mixture model. The data structure<CODE>mix</CODE> defines the mixture model, while the matrix <CODE>x</CODE> containsthe data vector as a row vector. Note the unusual order of the arguments:this is so that the function can be used in <CODE>demhmc1</CODE> directly forsampling from the distribution <CODE>p(x)</CODE>.<p><h2>See Also</h2><CODE><a href="demhmc1.htm">demhmc1</a></CODE>, <CODE><a href="demmet1.htm">demmet1</a></CODE>, <CODE><a href="dempot.htm">dempot</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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