Learning moral graphs based on Bayesian networks theory
Shuangcheng Wang · Jisuanji yingyong yanjiu · 2009
The moral graph of Bayesian network is a kind of Markov network.It is a powerful tool in analyzing dependent relationship,reasoning and predicting between variables.Bayesian networks have close relationship with moral graphs,proposed the constructing methods of moral graphs based on the Bayesian networks theory,the experiment indicates this method can obviously raise the moral graphs study efficiency and the reliability,the method is also fit to build multivariable sparse moral graphs.