Dual Coordinate-Descent Methods for Linear One-Class SVM and SVDD
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 107 === One-class SVM and support vector data description (SVDD) are two effective outlier detection techniques. They have been successfully applied to many applications under the kernel settings, but for some high dimensional data, linear rather than kernel one-class...
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| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3k2k2r |