Research Of Two Class Confidence Classification Based On One Class Classifier
To have simple and efficient confidence machine learning is an important focus in confidence machine researches. Using one class classifier as a tool, the paper applies it twice for two-class classification problems. Setting reject options and a multi-layer ensemble learning method are used in this...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2014-12-01
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| Series: | Cybernetics and Information Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/cait-2014-0041 |
| _version_ | 1818745199299395584 |
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| author | Fangchun Jiang Shengfeng Tian |
| author_facet | Fangchun Jiang Shengfeng Tian |
| author_sort | Fangchun Jiang |
| collection | DOAJ |
| description | To have simple and efficient confidence machine learning is an important focus in confidence machine researches. Using one class classifier as a tool, the paper applies it twice for two-class classification problems. Setting reject options and a multi-layer ensemble learning method are used in this study. In this method there is no necessity to set up a specific threshold and the confidence computation is omitted. Realizing five experiments, the study proves it as efficient. |
| first_indexed | 2024-12-18T02:56:24Z |
| format | Article |
| id | doaj.art-4996b9a7b01940818d49965393aa3c60 |
| institution | Directory Open Access Journal |
| issn | 1314-4081 |
| language | English |
| last_indexed | 2024-12-18T02:56:24Z |
| publishDate | 2014-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Cybernetics and Information Technologies |
| spelling | doaj.art-4996b9a7b01940818d49965393aa3c602022-12-21T21:23:22ZengSciendoCybernetics and Information Technologies1314-40812014-12-01145283910.2478/cait-2014-0041Research Of Two Class Confidence Classification Based On One Class ClassifierFangchun Jiang0Shengfeng Tian1School of Computer and Information Technology, Beijing Jiao Tong University, Beijing 100044, ChinaSchool of Computer and Information Technology, Beijing Jiao Tong University, Beijing 100044, ChinaTo have simple and efficient confidence machine learning is an important focus in confidence machine researches. Using one class classifier as a tool, the paper applies it twice for two-class classification problems. Setting reject options and a multi-layer ensemble learning method are used in this study. In this method there is no necessity to set up a specific threshold and the confidence computation is omitted. Realizing five experiments, the study proves it as efficient.https://doi.org/10.2478/cait-2014-0041confidence machinecredibilityone class classifierensemble learningreject option |
| spellingShingle | Fangchun Jiang Shengfeng Tian Research Of Two Class Confidence Classification Based On One Class Classifier Cybernetics and Information Technologies confidence machine credibility one class classifier ensemble learning reject option |
| title | Research Of Two Class Confidence Classification Based On One Class Classifier |
| title_full | Research Of Two Class Confidence Classification Based On One Class Classifier |
| title_fullStr | Research Of Two Class Confidence Classification Based On One Class Classifier |
| title_full_unstemmed | Research Of Two Class Confidence Classification Based On One Class Classifier |
| title_short | Research Of Two Class Confidence Classification Based On One Class Classifier |
| title_sort | research of two class confidence classification based on one class classifier |
| topic | confidence machine credibility one class classifier ensemble learning reject option |
| url | https://doi.org/10.2478/cait-2014-0041 |
| work_keys_str_mv | AT fangchunjiang researchoftwoclassconfidenceclassificationbasedononeclassclassifier AT shengfengtian researchoftwoclassconfidenceclassificationbasedononeclassclassifier |