Classifiers

[1] J. Cheng, R. Greiner, Comparing Bayesian Network Classifiers, UAI 1999, 1999, pp. 101-108.

[2] D. Dash, G.F. Cooper, Model Averaging for Prediction with Discrete Bayesian Networks, Journal of Machine Learning Research 5 (2004) 1177-1203.

[3] N. Friedman, D. Geiger, M. Goldszmidt, Bayesian Network Classifiers, Machine Learning 29 (1997) 131-163.

[4] D. Grossman, P. Domingos, Learning Bayesian network classifiers by maximizing conditional likelihood, in: C.E. Brodley (Ed.), Proceedings of the Twenty-first International Conference of Machine Learning (ICML 2004), Banff, Alberta, Canada, 2004.

[5] Y. Guo, R. Greiner, Discriminative Model Selection for Belief Net Structures, AAAI 2005, 2005, pp. 770-776.

[6] E.J. Keogh, M.J. Pazzani, Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches, Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999, pp. 225-230.

[7] P. Langley, W. Iba, K. Thompson, An analysis of bayesian classifiers, AAAI92: Proceedings of Tenth National Conference on Artificial Intelligence, AAAI Press, 1992, pp. 223-228.

[8] G. Santafé, J.A. Lozano, P. Larrañaga, Discriminative vs. Generative Learning of Bayesian Network Classifiers, Symbolic and Quantitative Approaches to Reasoning with Uncertainty (LNCS 4724), 2007, pp. 453-464.

[9] G.I. Webb, J.R. Boughton, Z. Wang, Not So Naive Bayes: Aggregating One-Dependence Estimators, Machine Learning 58 (1) (2005) 5-24.