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

[ker2014-2.git] / report / ass2-2.tex

diff --git a/report/ass2-2.tex b/report/ass2-2.tex
index f13d744..40d1ab3 100644 (file)
--- a/report/ass2-2.tex
+++ b/report/ass2-2.tex
@@ -52,7 +52,7 @@ Answer: P(circlePresent|Obs)=0.95.
        \label{chances}
        \begin{tabular}{|l|ll|}
                \hline
-               & Observed\\
+               & Observed &\\
                Present & T & F\\
                \hline
                T & $0.95$ & $0.01$\\
@@ -126,3 +126,11 @@ Answer: P(whatpizza|Obs)=[0.28994000000000003,0.33126500000000003].
 \end{minted}
 
 \section{Reflections}
+The model is relatively effective. One can easily compute the most likely pizza
+configuration from abstract shapes only. The model is also very scalable since
+the model only grows with the number of ingredients per pizza added because all
+the pizzas are independent. Because of this large datasets can be added very
+easily and because of this the computational complexity does not increase very
+much. Changes in parameters can also be added very easily, for example when a
+more accurate low level detection technique is applied the probabilities for
+the shapes present can be increased very easily.