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- W2361429391 abstract "This paper proposes an Active Support Vector Machine(ASVM) algorithm based on similarity fusion.It uses unlabeled samples,labeled samples,combines with Support Vector Machine(SVM) method to achieve active learning.Experimental results show,compared with the general ASVM,it can reduce the number of labeled samples effectively and inhibit the isolated samples of impact on the premise of keeping correctness of the classifier and it also has a higher classification accuracy in the same number of labeled samples." @default.
- W2361429391 created "2016-06-24" @default.
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- W2361429391 date "2011-01-01" @default.
- W2361429391 modified "2023-09-27" @default.
- W2361429391 title "Active Support Vector Machine Algorithm Based on Similarity Fusion" @default.
- W2361429391 hasPublicationYear "2011" @default.
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