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| author | Daniel Wolff |
|---|---|
| date | Fri, 19 Aug 2016 13:07:06 +0200 |
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| children |
| rev | line source |
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| Daniel@0 | 1 <html> |
| Daniel@0 | 2 <head> |
| Daniel@0 | 3 <title> |
| Daniel@0 | 4 Netlab Reference Manual mdnpost |
| Daniel@0 | 5 </title> |
| Daniel@0 | 6 </head> |
| Daniel@0 | 7 <body> |
| Daniel@0 | 8 <H1> mdnpost |
| Daniel@0 | 9 </H1> |
| Daniel@0 | 10 <h2> |
| Daniel@0 | 11 Purpose |
| Daniel@0 | 12 </h2> |
| Daniel@0 | 13 Computes the posterior probability for each MDN mixture component. |
| Daniel@0 | 14 |
| Daniel@0 | 15 <p><h2> |
| Daniel@0 | 16 Synopsis |
| Daniel@0 | 17 </h2> |
| Daniel@0 | 18 <PRE> |
| Daniel@0 | 19 post = mdnpost(mixparams, t) |
| Daniel@0 | 20 [post, a] = mdnpost(mixparams, t) |
| Daniel@0 | 21 </PRE> |
| Daniel@0 | 22 |
| Daniel@0 | 23 |
| Daniel@0 | 24 <p><h2> |
| Daniel@0 | 25 Description |
| Daniel@0 | 26 </h2> |
| Daniel@0 | 27 <CODE>post = mdnpost(mixparams, t)</CODE> computes the posterior |
| Daniel@0 | 28 probability <CODE>p(j|t)</CODE> of each |
| Daniel@0 | 29 data vector in <CODE>t</CODE> under the Gaussian mixture model represented by the |
| Daniel@0 | 30 corresponding entries in <CODE>mixparams</CODE>. Each row of <CODE>t</CODE> represents a |
| Daniel@0 | 31 single vector. |
| Daniel@0 | 32 |
| Daniel@0 | 33 <p><CODE>[post, a] = mdnpost(mixparams, t)</CODE> also computes the activations |
| Daniel@0 | 34 <CODE>a</CODE> (i.e. the probability <CODE>p(t|j)</CODE> of the data conditioned on |
| Daniel@0 | 35 each component density) for a Gaussian mixture model. |
| Daniel@0 | 36 |
| Daniel@0 | 37 <p><h2> |
| Daniel@0 | 38 See Also |
| Daniel@0 | 39 </h2> |
| Daniel@0 | 40 <CODE><a href="mdngrad.htm">mdngrad</a></CODE>, <CODE><a href="mdnprob.htm">mdnprob</a></CODE><hr> |
| Daniel@0 | 41 <b>Pages:</b> |
| Daniel@0 | 42 <a href="index.htm">Index</a> |
| Daniel@0 | 43 <hr> |
| Daniel@0 | 44 <p>Copyright (c) Ian T Nabney (1996-9) |
| Daniel@0 | 45 <p>David J Evans (1998) |
| Daniel@0 | 46 |
| Daniel@0 | 47 </body> |
| Daniel@0 | 48 </html> |