Changeset 661 for library/doc/html/user_guide2.html
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- 10/15/09 00:10:19 (15 years ago)
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library/doc/html/user_guide2.html
r656 r661 59 59 </ul> 60 60 </div> 61 <div class="navpath"><a class="el" href="dev_guide.html">BDM Use - in C++</a> » <a class="el" href="kalman.html">Examples of (extended) Kalman filtering</a> 62 </div> 61 63 </div> 62 64 <div class="contents"> … … 105 107 <ul> 106 108 <li>logbounds - store also lower and upper bounds on estimates (obtained by calling BM::posterior().qbounds()),</li> 107 <li>logll - store also loglikelihood of each step of the Bayes rule. These values are stored in given logger ( ug_loggers). By default, only mean values of the estimate are stored.</li>109 <li>logll - store also loglikelihood of each step of the Bayes rule. These values are stored in given logger (<a class="el" href="user_guide.html#ug_loggers">Loggers for flexible handling of results</a>). By default, only mean values of the estimate are stored.</li> 108 110 </ul> 109 111 <p>Storing of the log-likelihood is useful, e.g. in model selection task when two models are compared.</p> … … 193 195 <p>Note: error bars in this case are not directly comparable with those of previous examples. The MPF class implements the qbounds function as minimum and maximum of bounds in the condidered set (even if its weight is extreemly small). Hence, the bounds of the MPF are probably larger than it should be. Nevertheless, they provide great help when designing and tuning algorithms. </p> 194 196 </div> 195 <hr size="1"/><address style="text-align: right;"><small>Generated on Mon Oct 12 19:37:192009 for mixpp by 197 <hr size="1"/><address style="text-align: right;"><small>Generated on Wed Oct 14 23:00:33 2009 for mixpp by 196 198 <a href="http://www.doxygen.org/index.html"> 197 199 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address>