Shengqi Lu

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Semi-supervised learning is an active research field. Previous results shown that unite background information into the original unsupervised clustering problem could archive higher accuracy. In this paper, we explore the cooperation between the pairwise constrains given by the user and the sematic information in natural language. In addition, we reduce the(More)
Current e-learning applications are limited with respect to learning cooperation and communication among learners, because these applications such as on-line courses offered in China often involve large numbers of geographically dispersed students who have diverse learning preferences and different requirements. Constructing learner communities of interest(More)
Process modeling and its description language are attracting increasing attention from industries. As the concept of role orientation becomes more widely accepted, there have already been some role-modeling approaches and description languages of role orientation. This paper summarizes the characteristics and the weakness of the methods mentioned above, and(More)
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