Safe Screening Rules for Accelerating Twin Support Vector Machine Classification.

IEEE Transactions on Neural Networks and Learning Systems(2018)

引用 63|浏览16
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摘要
The twin support vector machine (TSVM) is widely used in classification problems, but it is not efficient enough for large-scale data sets. Furthermore, to get the optimal parameter, the exhaustive grid search method is applied to TSVM. It is very time-consuming, especially for multiparameter models. Although many techniques have been presented to solve these problems, all of them always affect th...
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关键词
Support vector machines,Training,Tuning,Acceleration,Learning systems,Data models,Optimization
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