L2P-Norm Distance Twin Support Vector Machine
A twin support vector machine (TWSVM) is an effective classifier, especially for binary data, which is defined by squared l<sub>2</sub>-norm distance in the objective function. Since squared l<sub>2</sub>-norm distance is susceptible to outliers, it is desirable to develop a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8065036/ |