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| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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| 1 <html> | |
| 2 <head> | |
| 3 <title> | |
| 4 Netlab Reference Manual demgpot | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> demgpot | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Computes the gradient of the negative log likelihood for a mixture model. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 g = demgpot(x, mix)</PRE> | |
| 20 | |
| 21 | |
| 22 <p><h2> | |
| 23 Description | |
| 24 </h2> | |
| 25 This function computes the gradient of the negative log of the unconditional data | |
| 26 density <CODE>p(x)</CODE> with respect to the coefficients of the | |
| 27 data vector <CODE>x</CODE> for a Gaussian mixture model. The data structure | |
| 28 <CODE>mix</CODE> defines the mixture model, while the matrix <CODE>x</CODE> contains | |
| 29 the data vector as a row vector. Note the unusual order of the arguments: | |
| 30 this is so that the function can be used in <CODE>demhmc1</CODE> directly for | |
| 31 sampling from the distribution <CODE>p(x)</CODE>. | |
| 32 | |
| 33 <p><h2> | |
| 34 See Also | |
| 35 </h2> | |
| 36 <CODE><a href="demhmc1.htm">demhmc1</a></CODE>, <CODE><a href="demmet1.htm">demmet1</a></CODE>, <CODE><a href="dempot.htm">dempot</a></CODE><hr> | |
| 37 <b>Pages:</b> | |
| 38 <a href="index.htm">Index</a> | |
| 39 <hr> | |
| 40 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 41 | |
| 42 | |
| 43 </body> | |
| 44 </html> |