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Robust classifier learning with fuzzy class labels for large-margin support vector machines
Neurocomputing, 2013Using class label fuzzification, this study develops the idea of refreshing the attitude of the difficult training examples and gaining a more robust classifier for large-margin support vector machines (SVMs). Fuzzification relaxes the specific hard-limited Lagrangian constraints of the difficult examples, extends the infeasible space of the canonical ...
Chan-Yun Yang +2 more
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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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Marginal Learning Algorithms in Statistical Machine Learning
2006Qing Tao, Jue Wang
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Large Margin and Minimal Reduced Enclosing Ball Learning Machine
Journal of Software, 2012Jian-Wen TAO, Shi-Tong WANG
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Machine learning and data science for low-margin optical networks
2022Camille Delezoide +2 more
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Large margin distribution multi-class supervised novelty detection
Expert Systems With Applications, 2023Fa Zhu, Wenjie Zhang
exaly
The Influence of Margin Width on Local Control of Ductal Carcinoma in Situ of the Breast
New England Journal of Medicine, 1999Michael D Lagios
exaly
Evolution of the Mariana Convergent Plate Margin System
Reviews of Geophysics, 1996Patricia Fryer
exaly