An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification
The performance of machine learning algorithms is affected by the imbalanced distribution of data among classes. This issue is crucial in various practical problem domains, for example, in medical diagnosis, network intrusion, fraud detection etc. Most efforts so far are mainly focused upon binary c...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2015-08-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25868627.pdf |