1. Baluja, S. (1994). Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94–163, Carnegie Mellon University.
2. Berny, A. (2000a). An adaptive scheme for real function optimization acting as a selection operator. In Yao, X., editor, First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks.
3. Berny, A. (2000b). Selection and reinforcement learning for combinatorial optimization. In Schoenauer, M., Deb, K., Rudolph, G., Yao, X., Lutton, E., Merelo, J. J., and Schwefel, H.-P., editors, Lecture Notes in Computer Science 1917: Parallel Problem Solving from Nature - PPSN VI, pages 601–610.
4. Cestnik, B. (1990). Estimating probabilities: A crucial task in machine learning. Proceedings of the European Conference in Artificial Intelligence, pages 147–149
5. Cooper, G. F. and Herskovits, E. A. (1992). A Bayesian method for the induc-tion of probabilistic networks from data. Machine Learning, 9:309–347.