Research Of Two Class Confidence Classification Based On One Class Classifier

@article{Fangchun2014ResearchOT,
  title={Research Of Two Class Confidence Classification Based On One Class Classifier},
  author={Jiang Fangchun and Tian Sheng-feng},
  journal={Cybernetics and Information Technologies},
  year={2014},
  volume={14},
  pages={28 - 39}
}
AbstractTo 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. 

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