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| [99] | 1 | \section{work/mixpp/bdm/stat/arx.h File Reference} |
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| 2 | \label{stat_2arx_8h}\index{work/mixpp/bdm/stat/arx.h@{work/mixpp/bdm/stat/arx.h}} |
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| 3 | Bayesian Models (bm) that use Bayes rule to learn from observations. |
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| 4 | |
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| 5 | {\tt \#include $<$itpp/itbase.h$>$}\par |
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| 6 | {\tt \#include $<$libBM.h$>$}\par |
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| 7 | |
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| 8 | |
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| 9 | Include dependency graph for arx.h:\nopagebreak |
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| 10 | \begin{figure}[H] |
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| 11 | \begin{center} |
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| 12 | \leavevmode |
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| 13 | \includegraphics[width=88pt]{stat_2arx_8h__incl} |
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| 14 | \end{center} |
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| 15 | \end{figure} |
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| 16 | \subsection*{Classes} |
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| 17 | \begin{CompactItemize} |
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| 18 | \item |
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| 19 | class {\bf ARX} |
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| 20 | \begin{CompactList}\small\item\em Linear Autoregressive model with Gaussian noise. \item\end{CompactList}\item |
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| 21 | class {\bf BMcond} |
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| 22 | \begin{CompactList}\small\item\em Conditional Bayesian Filter. \item\end{CompactList}\end{CompactItemize} |
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| 23 | |
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| 24 | |
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| 25 | \subsection{Detailed Description} |
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| 26 | Bayesian Models (bm) that use Bayes rule to learn from observations. |
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| 27 | |
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| 28 | \begin{Desc} |
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| 29 | \item[Author:]Vaclav Smidl.\end{Desc} |
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| 30 | ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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| 31 | |
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| 32 | Using IT++ for numerical operations ----------------------------------- |
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