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Robust classification and regression using support vector machines
Institution:1. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian 116025, China;2. School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai 201620, China;3. School of Business Administration and Collaborative Innovation Center of Financial Security, Southwestern University of Finance and Economics, Chengdu 611130, China;1. College of Information Science and Technology, Nanjing Forestry University, No.159 Longpan Road, Nanjing, 210037, PR China;2. Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Nanjing Forestry University, Nanjing, 210037, PR China;3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, 210094, PR China;4. Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, 210094, PR China;5. The Laboratory for Internet of Things and Mobile Internet Technology of Jiangsu Province, Huaiyin Institute of Technology, Huai’an, 223003, PR China;6. Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, PR China
Abstract:
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