Regularized Universum twin support vector machine for classification of EEG Signal
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8906183/8913838/08913897.pdf?arnumber=8913897
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection;Expert Systems with Applications;2024-08
2. A Novel Dual-Center-Based Intuitionistic Fuzzy Twin Bounded Large Margin Distribution Machines;IEEE Transactions on Fuzzy Systems;2023-09
3. Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM);Multimedia Tools and Applications;2023-08-15
4. Universum parametric $$\nu $$-support vector regression for binary classification problems with its applications;Annals of Operations Research;2023-05-26
5. Inverse free reduced universum twin support vector machine for imbalanced data classification;Neural Networks;2023-01
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