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Class imbalance learning via a fuzzy total margin based support vector machine
Applied Soft Computing, 2015A fuzzy total margin based support vector machine (FTM-SVM) method to handle the class imbalance learning (CIL) problem in the presence of outliers and noise was presented.The proposed method incorporates total margin algorithm, different cost functions and the proper approach of fuzzification of the penalty into FTM-SVM and formulates them in ...
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Stochastic environmental research and risk assessment (Print), 2021
Pouya Aghelpour +2 more
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Pouya Aghelpour +2 more
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Marginal Learning Algorithms in Statistical Machine Learning
2006Qing Tao, Jue Wang
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Support Vector Machine Classifier via Soft-Margin Loss
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, Shenglong Zhou
exaly
Machine learning and data science for low-margin optical networks
2022Camille Delezoide +2 more
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Short-term wind speed prediction using hybrid machine learning techniques
Environmental science and pollution research international, 2021Deepak Gupta, N. Natarajan, M. Berlin
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