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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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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 each data vector in <CODE>t</CODE> under the Gaussian mixture model represented by the corresponding entries in <CODE>mixparams</CODE>. Each row of <CODE>t</CODE> represents a single 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 on each 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>