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https://ieeexplore.ieee.org/document/1555965/
Abstract: This paper presents a weighted support vector machine (WSVM) to improve the outlier sensitivity problem of standard support vector machine (SVM) for two-class data classification. The basic idea is to assign different weights to different data points such that the WSVM training algorithm learns the decision surface according to the relative importance of data points in the training ...https://ieeexplore.ieee.org/document/1555965
http://manu46.magtech.com.cn/ces/EN/abstract/abstract14878.shtml
2020-1-16 · on weighted support vector machine WANG Hong1,2,DAI Yu xing1,3,TAN Yan jie2,LI Dan4 (1.College of Electrical and Information Engineering,Hunan University,Changsha 410082;manu46.magtech.com.cn/ces/EN/abstract/abstract14878.shtml
https://www.researchgate.net/publication/4202393_Weighted_support_vector_machine_for_data_classification
This paper presents a weighted support vector machine (WSVM) to improve the outlier sensitivity problem of standard support vector machine (SVM) for two-class data classification.https://www.researchgate.net/publication/4202393_Weighted_support_vector_machine_for...
https://arxiv.org/pdf/1310.3003.pdf
2015-10-9 · method is named Distance-weighted Support Vector Machine (DWSVM) to salute the above two classical methods. As shown in Panel (d) of Figure1, DWSVM preserves a good direction by showing the Gaussian pattern in the projections while nds a good intercept term which is not subject to the imbalanced sample sizes.https://arxiv.org/pdf/1310.3003.pdf
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