1. Aliferis, C., Cooper, G.: An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets. In: Proceedings of Tenth Conference on Uncertainty in Artificial Intelligence, Seattle, WA, pp. 8–14. Morgan Kaufmann, San Francisco (1994)
2. Badsberg, J.: Model search in contingency tables by CoCo. In: Dodge, Y., Whittaker, J. (eds.) Computational Statistics, pp. 251–256, Physica Verlag, Heidelberg (1992)
3. Becker, S., LeCun, Y.: Improving the convergence of backpropagation learning with second order methods. In: Proceedings of the 1988 Connectionist Models Summer School, pp. 29–37. Morgan Kaufmann, San Francisco (1989)
4. Beinlich, I., Suermondt, H., Chavez, R., Cooper, G.: The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks. In: Proceedings of the Second European Conference on Artificial Intelligence in Medicine, London, pp. 247–256. Springer, Berlin (1989)
5. Bernardo, J.: Expected information as expected utility. Annals of Statistics 7, 686–690 (1979)