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- W2376851399 abstract "Aiming at the two problems which are generic SVM algorithm can not effectively dispose training sets with uneven class sizes and SVM classifiers of existing partial-binary trees have lower velocity,proposed a SVM multi-class classification algorithm based on full-binary tree of sphere-structured.Sphere-structured SVM of this algorithm can dispose unbalanced samples data because it considered the distribution of each class.To build the structure of full-binary tree,it made SVM classifiers which were denoted by the same hiberarchy nodes work at one time,which speeded up training and classification of SVM classifiers and the speed of classification was the same as bisearch.The results of example show that the proposed method can implement more exact and effective classification." @default.
- W2376851399 created "2016-06-24" @default.
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- W2376851399 date "2008-01-01" @default.
- W2376851399 modified "2023-09-28" @default.
- W2376851399 title "SVM multi-class classification algorithm based on full-binary tree of sphere-structured" @default.
- W2376851399 hasPublicationYear "2008" @default.
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