diff --git a/packages/CLPBN/pfl.tex b/packages/CLPBN/pfl.tex
index 6994b0ad3..f0ca5ba27 100644
--- a/packages/CLPBN/pfl.tex
+++ b/packages/CLPBN/pfl.tex
@@ -433,7 +433,7 @@ Parameter learning is done by calling the \texttt{em/5} predicate. Its arguments
 
 Where,
 \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{MaxIters} is the maximum number of iterations for the EM loop.
  \item \texttt{CPTs} is a list with the estimated conditional probability tables.