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author wolffd
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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual mdnprob
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> mdnprob
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Computes the data probability likelihood for an MDN mixture structure.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19 prob = mdnprob(mixparams, t)
wolffd@0 20 [prob, a] = mdnprob(mixparams, t)
wolffd@0 21 </PRE>
wolffd@0 22
wolffd@0 23
wolffd@0 24 <p><h2>
wolffd@0 25 Description
wolffd@0 26 </h2>
wolffd@0 27 <CODE>prob = mdnprob(mixparams, t)</CODE> computes the probability <CODE>p(t)</CODE> of each
wolffd@0 28 data vector in <CODE>t</CODE> under the Gaussian mixture model represented by the
wolffd@0 29 corresponding entries in <CODE>mixparams</CODE>. Each row of <CODE>t</CODE> represents a
wolffd@0 30 single vector.
wolffd@0 31
wolffd@0 32 <p><CODE>[prob, a] = mdnprob(mixparams, t)</CODE> also computes the activations
wolffd@0 33 <CODE>a</CODE> (i.e. the probability <CODE>p(t|j)</CODE> of the data conditioned on
wolffd@0 34 each component density) for a Gaussian mixture model.
wolffd@0 35
wolffd@0 36 <p><h2>
wolffd@0 37 See Also
wolffd@0 38 </h2>
wolffd@0 39 <CODE><a href="mdnerr.htm">mdnerr</a></CODE>, <CODE><a href="mdnpost.htm">mdnpost</a></CODE><hr>
wolffd@0 40 <b>Pages:</b>
wolffd@0 41 <a href="index.htm">Index</a>
wolffd@0 42 <hr>
wolffd@0 43 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 44 <p>David J Evans (1998)
wolffd@0 45
wolffd@0 46 </body>
wolffd@0 47 </html>