Paper Title:
Bayesian Network with Association Rules Applied in the Recognition of Handwritten Digits
  Abstract

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.

  Info
Periodical
Edited by
Yanwen Wu
Pages
7-12
DOI
10.4028/www.scientific.net/AMR.187.7
Citation
W. Q. Zhao, Y. F. Zhang, S. L. Zhang, "Bayesian Network with Association Rules Applied in the Recognition of Handwritten Digits", Advanced Materials Research, Vol. 187, pp. 7-12, 2011
Online since
February 2011
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