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	Imbalanced classification: A paradigm-based review 期刊论文 Statistical Analysis and Data Mining,2021, 卷号: 14, 期号: 5, 页码: 383-406 作者: Feng, Yang; Zhou, Min; Tong, Xin 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/10/19 binary classification classical classification (CC) paradigm cost-sensitive (CS) learning paradigm imbalance ratio imbalanced data Neyman–Pearson (NP) paradigm resampling methods
	Model assessment through renormalization group in statistical learning 期刊论文 Control and Intelligent Systems,2014, 卷号: 42, 期号: 2, 页码: 126-135 作者: Wang, Qingguo; Yu, Chao 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/07/15 Binary classification Model assessment Renor-malization Group Statistical learning Support vector machines
	A generalized boosting algorithm and its application to two-class chemical classification problem 期刊论文 Analytica Chimica Acta,2005, 卷号: 543, 期号: 1-2, 页码: 181-191 作者: He, Ping; Fang, Kaitai; Liang, Yizeng; Li, Boyan 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/05/13 Bayes optimal decision rule Binary chemical classification Boosting Chemometrics