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中文摘要：
贝叶斯网络的道德图是一种马尔可夫网络，是进行随机变量之间依赖关系分析、推理及预测的有力工具。基于道德图和贝叶斯网络间的密切联系，提出了一种基于贝叶斯网络理论进行道德图学习的方法。实验表明该方法能够显著提高道德图学习效率和可靠性，适合于多变量稀疏道德图学习。
英文摘要：
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.
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