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comparison toolboxes/FullBNT-1.0.7/nethelp3.3/errbayes.htm @ 0:e9a9cd732c1e tip
first hg version after svn
| 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 errbayes | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> errbayes | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Evaluate Bayesian error function for network. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 e = errbayes(net, edata) | |
| 20 [e, edata, eprior] = errbayes(net, edata) | |
| 21 </PRE> | |
| 22 | |
| 23 | |
| 24 <p><h2> | |
| 25 Description | |
| 26 </h2> | |
| 27 <CODE>e = errbayes(net, edata)</CODE> takes a network data structure | |
| 28 <CODE>net</CODE> together | |
| 29 the data contribution to the error for a set of inputs and targets. | |
| 30 It returns the regularised error using any zero mean Gaussian priors | |
| 31 on the weights defined in | |
| 32 <CODE>net</CODE>. | |
| 33 | |
| 34 <p><CODE>[e, edata, eprior] = errbayes(net, x, t)</CODE> additionally returns the | |
| 35 data and prior components of the error. | |
| 36 | |
| 37 <p><h2> | |
| 38 See Also | |
| 39 </h2> | |
| 40 <CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="mlperr.htm">mlperr</a></CODE>, <CODE><a href="rbferr.htm">rbferr</a></CODE><hr> | |
| 41 <b>Pages:</b> | |
| 42 <a href="index.htm">Index</a> | |
| 43 <hr> | |
| 44 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 45 | |
| 46 | |
| 47 </body> | |
| 48 </html> |