\begin{thebibliography}{1} \bibitem{dabney06} J.~B. Dabney, G.~Barber, and D.~Ohi. \newblock Predicting software defect function point ratios using a bayesian belief network. \newblock In {\em Proceedings of the PROMISE workshop, 2006}, 2006. \newblock Available from \url{http://promisedata.org/pdf/phil2006DabneyBarberOhi.pdf}. \bibitem{domingos97optimality} P.~Domingos and M.~J. Pazzani. \newblock On the optimality of the simple bayesian classifier under zero-one loss. \newblock {\em Machine Learning}, 29(2-3):103--130, 1997. \bibitem{john95} G.~John and P.~Langley. \newblock Estimating continuous distributions in bayesian classifiers. \newblock In {\em Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence Montreal, Quebec: Morgan Kaufmann}, pages 338--345, 1995. \newblock Available from \url{http://citeseer.ist.psu.edu/john95estimating.html}. \bibitem{me06c} T.~Menzies, D.~Allen, and A.~Orrego. \newblock Bayesian anomaly detection (bad v1.0). \newblock In {\em Proceedings of the Machine Learning Algorithms for Surveillance and Event Detection Workshop, ICML'06}, 2006. \newblock Available from \url{http://menzies.us/pdf/06bad.pdf}. \end{thebibliography}