1. Approximating discrete probability distributions with dependence trees;Chow;IEEE Trans. Inform. Theory,1968
2. Boltzmann Machines: Constraint Satisfaction Networks That Learn;Hinton,1984
3. A computational model for combined causal and diagnostic reasoning in inference systems;Kim,1983
4. Latent structure analysis;Lazarfeld,1966
5. Reverend Bayes on inference engines: A distributed hierarchical approach;Pearl,1982