Contrastive learning-based fuzzy support vector machine

Published: 2025, Last Modified: 15 May 2025Neurocomputing 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Contrastive Learning-Enhanced FSVM: Enhanced FSVM with neighborhood structural information to improve noise and outlier resistance.•Adaptive Slack Variable Optimization: Iteratively refined slack variables for better robustness and generalization.•Improved Fuzzy Membership: Redesigned fuzzy weighting to handle uncertainty effectively in the SVM framework.
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