Support vector machine and its difficulties from control field of view
The application of the Support Vector Machine (SVM) classification algorithm to large-scale datasets is limited due to its use of a large number of support vectors and dependency of its performance on its kernel parameter. In this paper, SVM is redefined as a control system and Iterative Learning Co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Journals
2021
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/6176/1/TIMC-20-0411.R1_Proof_hi.pdf |