High-dimensional outlier detection based on deep belief network and linear one-class SVM
Aiming at the difficulties in high-dimensional outlier detection at present,an algorithm of high-dimensional outlier detection based on deep belief network and linear one-class SVM was proposed.The algorithm firstly used the deep belief network which had a good performance in the feature extraction...
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Main Authors: | Haoqi LI, Na YING, Chunsheng GUO, Jinhua WANG |
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Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2018-01-01
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Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018006/ |
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