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- W2389778082 abstract "One-Class SVM, as an unsupervised learning algorithm, is used widely in the areas of information security and image recognition etc. Moreover, Hyper-Sphere One-Class SVM can product a right sphere including the training examples, so it is fit to learn the examples with sphere-shaped distribution. However, Hyper-Sphere One-Class SVM is limited in real applications because it lacks a fast training algorithm. Training standard SVM successfully, the idea of SMO algorithm can be used to train Hyper-Sphere One-Class SVM too. The SMO algorithm for Hyper-Sphere One-Class SVM is proposed, the space and time complexity degrees are also analyzed in this paper. As shown in our numeric experiments, the new algorithm can train Hyper-Sphere One-Class SVM precisely and efficiently." @default.
- W2389778082 created "2016-06-24" @default.
- W2389778082 creator A5085634514 @default.
- W2389778082 date "2008-01-01" @default.
- W2389778082 modified "2023-09-23" @default.
- W2389778082 title "SMO Training Algorithm for Hyper-sphere One-class SVM" @default.
- W2389778082 hasPublicationYear "2008" @default.
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