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1)  cost-sensitive loss
代价敏感损失
2)  cost-sensitive
代价敏感
1.
A study on over-fitting in cost-sensitive learning
代价敏感学习的过度拟合问题研究
2.
Since different type of attacks aimed at different computers make different damage, the authors propose the conception of cost-sensitive in alert correlation and judge the alert cost based on Bayesian network, which is inserted into the correlation process.
将代价敏感应用于告警相关,运用贝叶斯网络判断告警代价,将考虑代价的部分放入整个相关框架中,以减少告警相关的时间,提高响应速度。
3.
By improving the encode/decode methods and taking different misclassification cost into account, this paper concerns a new cost-sensitive algorithm called CSC-GEP based on Gene Expression Programming (GEP).
针对这一问题,通过改进编解码方法以及在适应度函数中集成样本的不同误分类代价,提出了一种基于基因表达式程序设计的代价敏感分类算法(CSC-GEP),并在三个UCI数据集上对该算法进行了测试,实验结果表明CSC-GEP是一种有效的代价敏感分类算法。
3)  Cost Sensitive
代价敏感
1.
Cost Sensitive Support Vector Machines Applied in Medical Treatment;
代价敏感支持向量机在医疗诊断中的应用
2.
Study of telecom customer churn prediction based on cost sensitive SVM
基于代价敏感SVM的电信客户流失预测研究
3.
In this paper,a spam filtering method based on cost sensitive SVM is proposed.
该文提出一个基于代价敏感支持向量机的垃圾邮件过滤方案,通过为正类和负类训练样本设置不同的错误惩罚系数对分类器进行训练,在保证较高的垃圾邮件召回率的前提下,尽可能降低正常邮件的误判率(假阳性率)。
4)  Multicost Sensitive
多代价敏感
5)  cost-sensitive diagnosis
代价敏感诊断
6)  cost-sensitive learning
代价敏感学习
1.
5 decision tree as a baseline classifier,which can obtain the prediction model with a minimum error rate based on the assumption that all misclassifications have the same cost,to realize cost-sensitive learning.
5决策树算法为基准分类器,融合代价调整方法实现代价敏感学习。
2.
This paper proposes two algorithms for age estima- tion by utilizing canonical correlation analysis and cost-sensitive learning.
本文基于典型相关分析和代价敏感学习提出了两种年龄估计算法,并在此基础上利用集成技术来提高年龄估计的准确性。
3.
The authors briefly review the theory of cost-sensitive learning, and the exist ing cost-sensitive learning algorithms.
简要地回顾了代价敏感学习的理论和现有的代价敏感学习算法。
补充资料:代价函数
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性质:又称性能指标,费用函数或代价函数。对过程或设备事先规定的最优化准则,也就是过程最优化要达到的目标的数学表达式。一般是状态变量,控制变量,操作变量的纯量函数或泛函。

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