Noisy label relabeling by nonparallel support vector machine
In machine learning, models are derived from labeled training data where labels signify classes and features define sample attributes. However, noise from data collection can impair the algorithm’s performance. Blanco, Japón, and Puerto proposed mixed-integer programming (MIP) models within support...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ferdowsi University of Mashhad
2024-03-01
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| Series: | Iranian Journal of Numerical Analysis and Optimization |
| Subjects: | |
| Online Access: | https://ijnao.um.ac.ir/article_44726_2ccef5747a36461b3132d5ff43a9cbd7.pdf |