This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.

该文就是基于这个思想提出了新的人脸识别算法，即加强概率推理模型。

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To address these problems, a collaborative filtering recommendation algorithm combining probabilistic relational models and user grade (PRM-UG-CF) is presented.

针对传统协同过滤推荐算法的稀疏性、扩展性问题，提出了结合似然关系模型和用户等级的协同过滤推荐算法。

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