Constraint selection on monotonic support vector classifiers

Chih Chuan Chen, Hui Chi Chuang, Yi Chung Cheng, Sheng Tun Li

研究成果: Conference contribution

摘要

Support Vector Machines (SVMs) are widely used data mining techniques owing to their excellent abilities in solving both classification and regression problems. Various efforts have been dedicated to improve SVMs based on different scenarios of the real world problems. It has been observed that some monotonic relationships exist between attributes and the output values, and SVMs that consider such prior knowledge in some application fields obtain certain advantages. Previous studies showed that SVMs incorporating monotonicity constraints, so-called MC-SVM, could improve the performance of SVMs in some applications. In this research, we aim to explore the impacts on predictive performance of MC-SVM model with respect to constructing methods as well as different number of monotonicity constraints.

原文English
主出版物標題Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
編輯Ayako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
發行者Institute of Electrical and Electronics Engineers Inc.
頁面641-646
頁數6
ISBN(電子)9781467389853
DOIs
出版狀態Published - 2016 八月 31
事件5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
持續時間: 2016 七月 102016 七月 14

出版系列

名字Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
國家/地區Japan
城市Kumamoto
期間16-07-1016-07-14

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 電腦網路與通信
  • 電腦科學應用
  • 電腦視覺和模式識別

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