Research on Confidence Machine
Authors
Fangchun Jiang
Corresponding Author
Fangchun Jiang
Available Online April 2017.
- DOI
- 10.2991/icmse-17.2017.61How to use a DOI?
- Keywords
- machine learning, confidence machine, controlled confidence, reject option, SVM
- Abstract
Manageable confidence machine learning is one of the important approaches to implement confidence machine application. This paper is based on two class confidence classifier, adopting two class classifier as tool to convert learning results of classifiers and achieve confidence management through setting threshold values. The research accomplished manageable general accuracy of the classification and manageable positive/negative classification accuracy. Such method is tested in 5 experimental data sets of cardiopathy and diabetes, achieved preferable research result.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fangchun Jiang PY - 2017/04 DA - 2017/04 TI - Research on Confidence Machine BT - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017) PB - Atlantis Press SP - 328 EP - 331 SN - 2352-5401 UR - https://doi.org/10.2991/icmse-17.2017.61 DO - 10.2991/icmse-17.2017.61 ID - Jiang2017/04 ER -