1. Agosta, J. M., “The structure of Bayes networks for visual recognition,” Proc. 4th conf. on uncertainty in A.I., 1988, pp.1–8.
2. Agosta, J. M., Probabilistic recognition networks, an application of influence diagrams to visual recognition, PhD Thesis, submitted April 1991.
3. Geiger, D. and D. Heckerman, “Separable and Transitive Graphoids”, Proc. of the 6th conf. on uncertainty and A.I., 1990, pp. 538–545.
4. Goldman, R. P. and E. Charniak, “Dynamic construction of belief networks,” Proc. of the 6th Conf in Uncertainty and A.I., 1990, pp. 90–97.
5. Henrion, M. and M. Druzdzel, “Qualitative propagation and scenario-based approaches to explanation of probabilistic reasoning,” Proc. of the 6th Conf on uncertainty and A.I., 1990, pp. 10–20.