Research on Confidence Machine

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/).

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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  -