Merge branch 'master' of github.com:dopefishh/ker2014-2

diff --combined report/ass2-1.tex
index 119d88e,55c8501..02f418f
--- 1/report/ass2-1.tex
--- 2/report/ass2-1.tex
+++ b/report/ass2-1.tex
@@@ -1,25 -1,22 +1,22 @@@
  \chapter{Probabilistic representation and reasoning (and burglars)}
  \section{Formal description}
- In our representation of the model we chose to introduce a \textit{Noisy OR} to
+ In our representation of the model we introduced a \textit{Noisy OR} to
  represent the causal independence of \textit{Burglar} and \textit{Earthquake}
- on \textit{Alarm}. The visual representation of the network is visible in
+ on \textit{Alarm}. The representation of the network is displayed in
  Figure~\ref{bnetwork21}
  
  \begin{figure}[H]
-       \caption{Bayesian network, visual representation}
+       \caption{Bayesian network alarmsystem}
        \label{bnetwork21}
        \centering
        \includegraphics[scale=0.5]{d1.eps}
  \end{figure}
  
- As for the probabilities for \textit{Burglar} and \textit{Earthquake} we chose
- to calculate them using days the unit. Calculation for the probability of a
- \textit{Burglar} event happening at some day is then this(assuming a gregorian
- calendar and leap days).
+ Days were chosen as unit to model the story. Calculation for the probability of a\textit{Burglar} event happening at some day is then (assuming a gregorian
+ calendar and leap days):
  $$\frac{1}{365 + 0.25 - 0.01 - 0.0025}=\frac{1}{365.2425}$$
  
- This gives the following probability distributions visible in
- Table~\ref{probdist}
+ The resultant probability distributions can be found in table ~\ref{probdist}, in order to avoid a unclear graph.
  
  \begin{table}[H]
        \label{probdist}
@@@ -186,7 -183,6 +183,7 @@@ A bayesian network representation of th
  houses and burglars is possible but would be very big and tedious because all
  the constraints about the burglars must be incorporated in the network.
  The network would look something like in figere~\ref{bnnetworkhouses}
 +accompanied with the probability distributions below.
  
  \begin{tabular}{|l|l|}
        \hline
@@@ -254,9 -250,10 +251,9 @@@
        \hline
  \end{tabular}
  
 -
  \begin{figure}[H]
        \caption{Bayesian network of burglars and houses}
        \label{bnnetworkhouses}
        \centering
-       \includegraphics[scale=0.5]{d2.eps}
+       %\includegraphics[scale=0.5]{d2.eps}
  \end{figure}