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PFL manual: fix typo

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Tiago Gomes 2013-01-16 08:53:09 +00:00
parent 6cad8969c6
commit 5683258187
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packages/CLPBN/pfl.tex
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@ -433,7 +433,7 @@ Parameter learning is done by calling the \texttt{em/5} predicate. Its arguments
Where, Where,
\begin{itemize} \begin{itemize}
\item \texttt{Data} is a list of samples for the distribution that we want to estimate. Each sample is a list of either observed random variables or unobserved random variables (denoted when its state value is not instantiated). \item \texttt{Data} is a list of samples for the distribution that we want to estimate. Each sample is a list of either observed random variables or unobserved random variables (denoted when its state or value is not instantiated).
\item \texttt{MaxError} is the maximum error allowed before stopping the EM loop. \item \texttt{MaxError} is the maximum error allowed before stopping the EM loop.
\item \texttt{MaxIters} is the maximum number of iterations for the EM loop. \item \texttt{MaxIters} is the maximum number of iterations for the EM loop.
\item \texttt{CPTs} is a list with the estimated conditional probability tables. \item \texttt{CPTs} is a list with the estimated conditional probability tables.