A Filter-SQP strategy for training Support Vector Machine models
This paper introduces a filtering strategy for addressing optimization problems arising in binary Support Vector Machine classification. The training optimization problem aims to solve the dual formulation which involves a quadratic objective function subjected to a linear and box constraints. Our...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS)
2023-10-01
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| Series: | REMAT |
| Subjects: | |
| Online Access: | https://periodicos.ifrs.edu.br/index.php/REMAT/article/view/6241 |