Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.

结果表明，基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。

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By introducing the novel users' feedback mechanism, the technique adopts an improved Na? Ve Bayesian approach to construct classifiers for specific users to fulfill spam filtering.

该技术通过引入用户反馈机制，使用改进的朴素贝叶斯方法，构建面向特定用户的过滤器，从而进行垃圾邮件过滤。

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Furthermore, compared with the general Bayesian classifier ensemble, PEBNC requires less space because there is no need to save parameters of individual classifiers.

此外，与一般的贝叶斯集成分类器相比，PEBNC不必存储成员分类器的参数，空间复杂度大大降低。

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Furthermore, compared with the general Bayesian classifier ensemble, PEBNC requires less space because there is no need to save parameters of individual classifiers.

此外，与一般的贝叶斯集成分类器相比，PEBNC不必存储成员分类器的参数，空间复杂度大大降低。

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