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<html><head><title>Netlab Reference Manual mdnpost</title></head><body><H1> mdnpost</H1><h2>Purpose</h2>Computes the posterior probability for each MDN mixture component.<p><h2>Synopsis</h2><PRE>post = mdnpost(mixparams, t)[post, a] = mdnpost(mixparams, t)</PRE><p><h2>Description</h2><CODE>post = mdnpost(mixparams, t)</CODE> computes the posteriorprobability <CODE>p(j|t)</CODE> of eachdata vector in <CODE>t</CODE> under the Gaussian mixture model represented by thecorresponding entries in <CODE>mixparams</CODE>. Each row of <CODE>t</CODE> represents asingle vector.<p><CODE>[post, a] = mdnpost(mixparams, t)</CODE> also computes the activations<CODE>a</CODE> (i.e. the probability <CODE>p(t|j)</CODE> of the data conditioned oneach component density) for a Gaussian mixture model.<p><h2>See Also</h2><CODE><a href="mdngrad.htm">mdngrad</a></CODE>, <CODE><a href="mdnprob.htm">mdnprob</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)<p>David J Evans (1998)</body></html>⌨️ 快捷键说明
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