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<html><head><title>Netlab Reference Manual mdnprob</title></head><body><H1> mdnprob</H1><h2>Purpose</h2>Computes the data probability likelihood for an MDN mixture structure.<p><h2>Synopsis</h2><PRE>prob = mdnprob(mixparams, t)[prob, a] = mdnprob(mixparams, t)</PRE><p><h2>Description</h2><CODE>prob = mdnprob(mixparams, t)</CODE> computes the probability <CODE>p(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>[prob, a] = mdnprob(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="mdnerr.htm">mdnerr</a></CODE>, <CODE><a href="mdnpost.htm">mdnpost</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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