论文标题
基于成本敏感分类的拒绝分类
Classification with Rejection Based on Cost-sensitive Classification
论文作者
论文摘要
拒绝分类的目的是避免在诸如医疗诊断和产品检查之类的关键性应用程序中的风险错误分类。 In this paper, based on the relationship between classification with rejection and cost-sensitive classification, we propose a novel method of classification with rejection by learning an ensemble of cost-sensitive classifiers, which satisfies all the following properties: (i) it can avoid estimating class-posterior probabilities, resulting in improved classification accuracy, (ii) it allows a flexible choice of losses including non-convex ones, (iii) it does not require complicated modifications when using不同的损失，（iv）它适用于二进制和多类案例，并且（v）理论上是合理的，对于任何分类的损失都是合理的。实验结果证明了我们提出的方法在清洁标记，嘈杂标记和正标准分类中的有用性。
The goal of classification with rejection is to avoid risky misclassification in error-critical applications such as medical diagnosis and product inspection. In this paper, based on the relationship between classification with rejection and cost-sensitive classification, we propose a novel method of classification with rejection by learning an ensemble of cost-sensitive classifiers, which satisfies all the following properties: (i) it can avoid estimating class-posterior probabilities, resulting in improved classification accuracy, (ii) it allows a flexible choice of losses including non-convex ones, (iii) it does not require complicated modifications when using different losses, (iv) it is applicable to both binary and multiclass cases, and (v) it is theoretically justifiable for any classification-calibrated loss. Experimental results demonstrate the usefulness of our proposed approach in clean-labeled, noisy-labeled, and positive-unlabeled classification.
