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This paper presents a PBIL algorithm based on adaptive theory-giving that the traditional reduction of rough set is not unique and the process lasts for a long time. The learn probability and mutation rate of traditional PBIL algorithm can change adaptively by introducing the Systemic Entropy, then a self-learning and adaptive variability PBIL algorithm (APBIL) is formed. When it is applied to attributes...
Text classification is an important research field of data mining topics. This article brings a mutual information and information entropy pair based feature selection method (MIIEP_FS) based on the theory of information entropy and information entropy pair concept. This method measure the classification effect using feature by mutual information method and show the difference extent between the features...
A novel method for face recognition called semi-supervised bi-directional dimensionality reduction (SSBDR) is proposed. Based on semi-supervised learning, domain knowledge in the form of pairwise constraints besides abundant unlabeled examples are available, which specifies whether a pair of instances belong to the same class or not. Compared to the semi-supervised dimensionality reduction (SSDR),...
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