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[3] | 65 | </div> |
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[91] | 66 | <div class="contents"> |
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[290] | 67 | <h1>libBM.h File Reference</h1>Bayesian Models (bm) that use Bayes rule to learn from observations. |
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| 68 | <a href="#_details">More...</a> |
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[3] | 69 | <p> |
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[210] | 70 | <code>#include "../itpp_ext.h"</code><br> |
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[353] | 71 | <code>#include "../libconfig/libconfig.h++"</code><br> |
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[270] | 72 | <code>#include <map></code><br> |
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[3] | 73 | |
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| 74 | <p> |
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| 75 | <a href="libBM_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0"> |
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| 76 | <tr><td></td></tr> |
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| 77 | <tr><td colspan="2"><br><h2>Classes</h2></td></tr> |
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[261] | 78 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1bdmroot.html">bdm::bdmroot</a></td></tr> |
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[162] | 79 | |
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[261] | 80 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Root class of BDM objects. <a href="classbdm_1_1bdmroot.html#_details">More...</a><br></td></tr> |
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[255] | 81 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1str.html">bdm::str</a></td></tr> |
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[3] | 82 | |
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[255] | 83 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Structure of <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> (used internally), i.e. expanded RVs. <a href="classbdm_1_1str.html#_details">More...</a><br></td></tr> |
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| 84 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1RV.html">bdm::RV</a></td></tr> |
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[3] | 85 | |
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[255] | 86 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Class representing variables, most often random variables. <a href="classbdm_1_1RV.html#_details">More...</a><br></td></tr> |
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| 87 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1fnc.html">bdm::fnc</a></td></tr> |
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[3] | 88 | |
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[323] | 89 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_40.png"> of variable <img class="formulaInl" alt="$x$" src="form_0.png"> represented by <code>rv</code>. <a href="classbdm_1_1fnc.html#_details">More...</a><br></td></tr> |
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[255] | 90 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1epdf.html">bdm::epdf</a></td></tr> |
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[3] | 91 | |
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[255] | 92 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Probability density function with numerical statistics, e.g. posterior density. <a href="classbdm_1_1epdf.html#_details">More...</a><br></td></tr> |
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| 93 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mpdf.html">bdm::mpdf</a></td></tr> |
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[210] | 94 | |
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[255] | 95 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Conditional probability density, e.g. modeling some dependencies. <a href="classbdm_1_1mpdf.html#_details">More...</a><br></td></tr> |
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[270] | 96 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink.html">bdm::datalink</a></td></tr> |
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[210] | 97 | |
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[270] | 98 | <tr><td class="mdescLeft"> </td><td class="mdescRight">DataLink is a connection between two data vectors Up and Down. <a href="classbdm_1_1datalink.html#_details">More...</a><br></td></tr> |
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[255] | 99 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2e.html">bdm::datalink_m2e</a></td></tr> |
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[210] | 100 | |
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[255] | 101 | <tr><td class="mdescLeft"> </td><td class="mdescRight">data link between <a href="classbdm_1_1datalink__m2e.html#_details">More...</a><br></td></tr> |
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| 102 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1datalink__m2m.html">bdm::datalink_m2m</a></td></tr> |
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[139] | 103 | |
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[269] | 104 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1logger.html">bdm::logger</a></td></tr> |
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| 105 | |
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| 106 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Class for storing results (and semi-results) of an experiment. <a href="classbdm_1_1logger.html#_details">More...</a><br></td></tr> |
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[255] | 107 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1mepdf.html">bdm::mepdf</a></td></tr> |
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[180] | 108 | |
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[255] | 109 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Unconditional <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>. <a href="classbdm_1_1mepdf.html#_details">More...</a><br></td></tr> |
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| 110 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1compositepdf.html">bdm::compositepdf</a></td></tr> |
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[19] | 111 | |
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[261] | 112 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Abstract composition of pdfs, will be used for specific classes this abstract class is common to <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> and <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>. <a href="classbdm_1_1compositepdf.html#_details">More...</a><br></td></tr> |
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[255] | 113 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1DS.html">bdm::DS</a></td></tr> |
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[32] | 114 | |
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[255] | 115 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Abstract class for discrete-time sources of data. <a href="classbdm_1_1DS.html#_details">More...</a><br></td></tr> |
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| 116 | <tr><td class="memItemLeft" nowrap align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1BM.html">bdm::BM</a></td></tr> |
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[32] | 117 | |
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[269] | 118 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities. <a href="classbdm_1_1BM.html#_details">More...</a><br></td></tr> |
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[270] | 119 | <tr><td colspan="2"><br><h2>Typedefs</h2></td></tr> |
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| 120 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="547ee25cd5e6bae90105936ec4264257"></a><!-- doxytag: member="libBM.h::RVmap" ref="547ee25cd5e6bae90105936ec4264257" args="" --> |
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| 121 | typedef std::map< string, int > </td><td class="memItemRight" valign="bottom"><b>bdm::RVmap</b></td></tr> |
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| 122 | |
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[162] | 123 | <tr><td colspan="2"><br><h2>Functions</h2></td></tr> |
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[255] | 124 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b9016687c0e874ca5cdcf75ae28811aa"></a><!-- doxytag: member="libBM.h::concat" ref="b9016687c0e874ca5cdcf75ae28811aa" args="(const RV &rv1, const RV &rv2)" --> |
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| 125 | RV </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacebdm.html#b9016687c0e874ca5cdcf75ae28811aa">bdm::concat</a> (const RV &rv1, const RV &rv2)</td></tr> |
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[162] | 126 | |
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| 127 | <tr><td class="mdescLeft"> </td><td class="mdescRight">Concat two random variables. <br></td></tr> |
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[270] | 128 | <tr><td colspan="2"><br><h2>Variables</h2></td></tr> |
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| 129 | <tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="58a0ee51fd426e38101eb99e7c42a65e"></a><!-- doxytag: member="libBM.h::RV_SIZES" ref="58a0ee51fd426e38101eb99e7c42a65e" args="" --> |
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[353] | 130 | <a class="el" href="classitpp_1_1Vec.html#b03757d874926a9be91535e71af1656e">ivec</a> </td><td class="memItemRight" valign="bottom"><b>bdm::RV_SIZES</b></td></tr> |
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[270] | 131 | |
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[3] | 132 | </table> |
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[290] | 133 | <hr><a name="_details"></a><h2>Detailed Description</h2> |
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| 134 | Bayesian Models (bm) that use Bayes rule to learn from observations. |
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| 135 | <p> |
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| 136 | <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl> |
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| 137 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p> |
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| 138 | Using IT++ for numerical operations ----------------------------------- </div> |
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[353] | 139 | <hr size="1"><address style="text-align: right;"><small>Generated on Tue Jun 2 10:02:13 2009 for mixpp by |
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[3] | 140 | <a href="http://www.doxygen.org/index.html"> |
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[290] | 141 | <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.8 </small></address> |
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[3] | 142 | </body> |
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