Recommended Readings

See the following texts for more information:

Bayes, T. 1763. An essay towards solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society, 53:, 370-418.

Becker, B., R. Kohavi, and D. Sommerfield. 2001. Visualizing the Simple Bayesian Classifier. In: Information Visualization in Data Mining and Knowledge Discovery, U. Fayyad, G. Grinstein, and A. Wierse, eds. San Francisco: Morgan Kaufmann Publishers.

Domingos, P., and M. J. Pazzani. 1996. Beyond Independence: conditions for the optimality of the simple Bayesian classifier. In: Machine Learning: Proceedings of the Thirteenth International Conference, L. Saitta, eds. : Morgan Kaufman.

Hsu, C., H. Huang, and T. Wong. 2000. Why Discretization Works for Naive Bayesian Classifiers. In: Proceedings of the 17th International Conference on Machine Learning. San Francisco: Morgan Kaufman.

Kohavi, R., and D. Sommerfield. 1995. Feature subset selection using the wrapper model: Overfitting and dynamic search space topology. In: The First International Conference on Knowledge Discovery and Data Mining, . , eds. Menlo Park, California: AAAI Press.

Kohavi, R., B. Becker, and D. Sommerfield. 1997. Improving Simple Bayes. In: Proceedings of the European Conference on Machine Learning, . , eds. : .

Natarajan, R., and E. Pednault. 2001. Using Simulated Pseudo Data to Speed Up Statistical Predictive Modeling from Massive Data Sets. In: SIAM First International Conference on Data Mining, . , eds. : .