wolffd@0: <html> wolffd@0: <head> wolffd@0: <title> wolffd@0: Netlab Reference Manual mdnpost wolffd@0: </title> wolffd@0: </head> wolffd@0: <body> wolffd@0: <H1> mdnpost wolffd@0: </H1> wolffd@0: <h2> wolffd@0: Purpose wolffd@0: </h2> wolffd@0: Computes the posterior probability for each MDN mixture component. wolffd@0: wolffd@0: <p><h2> wolffd@0: Synopsis wolffd@0: </h2> wolffd@0: <PRE> wolffd@0: post = mdnpost(mixparams, t) wolffd@0: [post, a] = mdnpost(mixparams, t) wolffd@0: </PRE> wolffd@0: wolffd@0: wolffd@0: <p><h2> wolffd@0: Description wolffd@0: </h2> wolffd@0: <CODE>post = mdnpost(mixparams, t)</CODE> computes the posterior wolffd@0: probability <CODE>p(j|t)</CODE> of each wolffd@0: data vector in <CODE>t</CODE> under the Gaussian mixture model represented by the wolffd@0: corresponding entries in <CODE>mixparams</CODE>. Each row of <CODE>t</CODE> represents a wolffd@0: single vector. wolffd@0: wolffd@0: <p><CODE>[post, a] = mdnpost(mixparams, t)</CODE> also computes the activations wolffd@0: <CODE>a</CODE> (i.e. the probability <CODE>p(t|j)</CODE> of the data conditioned on wolffd@0: each component density) for a Gaussian mixture model. wolffd@0: wolffd@0: <p><h2> wolffd@0: See Also wolffd@0: </h2> wolffd@0: <CODE><a href="mdngrad.htm">mdngrad</a></CODE>, <CODE><a href="mdnprob.htm">mdnprob</a></CODE><hr> wolffd@0: <b>Pages:</b> wolffd@0: <a href="index.htm">Index</a> wolffd@0: <hr> wolffd@0: <p>Copyright (c) Ian T Nabney (1996-9) wolffd@0: <p>David J Evans (1998) wolffd@0: wolffd@0: </body> wolffd@0: </html>