Bayesian network with association rules applied in the Recognition of Handwritten Digits

Classification Based on Association (CBA) algorithm built a classifier based on the association rules, but without considering the uncertainty in the classification problem. This paper proposed a Bayesian network classifier based on the association rules. The algorithm extracts the candidate set uses association rules and classification algorithms related to the network, then uses "greedy hill-climbing algorithm" to learn network structure to get a better topology, and verify that this algorithm is valid on handwritten numeral recognition.