عنوان مقاله | |
عنوان مقاله |
TWSVR: Regression via Twin Support Vector Machine |
عنوان فارسی مقاله | TWSVR: رگرسیون از طریق ماشین مجزا پشتیبانی Twin |
مشخصات مقاله انگلیسی | |
نشریه: Elsevier | |
سال انتشار |
2016 |
عنوان مجله |
Neural Networks |
تعداد صفحات مقاله انگلیسی | 4 |
رفرنس | ندارد |
تعداد رفرنس | 0 |
چکیده مقاله | |
چکیده |
Taking motivation from Twin Support Vector Machine (TWSVM) formulation, Peng (2010) attempted to propose Twin Support Vector Regression (TSVR) where the regressor is obtained via solving a pair of quadratic programming problems(QPPs). In this paper we argue that TSVR formulation is not in the true spirit of TWSVM. Further, taking motivation from Bi & Bennett (2003), we propose an alternative approach to find a formulation for Twin Support Vector Regression (TWSVR) which is in the true spirit of TWSVM. We show that our proposed TWSVR can be derived from TWSVM for an appropriately constructed classification problem. To check the efficacy of our proposed TWSVR we compare its performance with TSVR and classical Support Vector Regression(SVR) on various regression datasets. |
کلمات کلیدی |
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