Non-parametric statistical assistance in virtual sample selection for small data set prediction

Yao San Lin, Liang Sian Lin, Der-Chiang Li, Wei Lin Liao

研究成果: Conference contribution

摘要

Science learned models based on limited data are usually fragile, researchers suggest the adoption of virtual samples to improve the prediction model. In this study, nonparametric statistical tool, Kolmogorov-Smirnov test, is introduced to examine the distribution of virtual samples without any assumption about the underlying population. The examination procedure would help control the quality of the generated virtual samples, such that the prediction model can be more robust with the basis of high quality virtual samples. Experimental results show that the prediction model with statistical test procedure performs better than the original one, with more stable and improved accuracies, and the examination procedure can effectively lower the prediction error.

原文English
主出版物標題Proceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015
編輯Kensei Tsuchida, Naohiro Ishii, Takaaki Goto, Satoshi Takahashi
發行者Institute of Electrical and Electronics Engineers Inc.
頁面369-373
頁數5
ISBN(電子)9781467396424
DOIs
出版狀態Published - 2015 十一月 23
事件3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015 - Okayama, Japan
持續時間: 2015 七月 122015 七月 16

出版系列

名字Proceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015

Other

Other3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015
國家Japan
城市Okayama
期間15-07-1215-07-16

    指紋

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems

引用此

Lin, Y. S., Lin, L. S., Li, D-C., & Liao, W. L. (2015). Non-parametric statistical assistance in virtual sample selection for small data set prediction. 於 K. Tsuchida, N. Ishii, T. Goto, & S. Takahashi (編輯), Proceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015 (頁 369-373). [7336090] (Proceedings - 3rd International Conference on Applied Computing and Information Technology and 2nd International Conference on Computational Science and Intelligence, ACIT-CSI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACIT-CSI.2015.70