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1)  uneven training class size
不均衡训练集
2)  balance training
平衡训练
1.
The authors mainly discussed the mechanism and issues of balance training by which the balance function of stroke patients in chronic period improved, based on nerve compensative mechanism.
作者通过神经补偿机制探讨目前的平衡训练方法提高脑卒中慢性期患者平衡功能的可能机制和存在的问题。
2.
Objective To observe the effect of balance training on cerebral cortex and balance function of mouse.
目的观察平衡训练对小鼠大脑皮质及平衡功能的影响。
3.
Objective To investigate the effects of balance training on balance function and walking ability of hemiplegic patients.
目的探讨平衡训练对偏瘫患者步行能力的影响。
3)  unbalanced data set
不均衡数据集
1.
This paper implemented an anomaly intrusion detection technique based on dual p support vector machine (dualν- SVM)with regard to labeled and unbalanced data sets often occurring in practical intrusion detection systems.
针对实际网络入侵检测中经常遇到的有标定的不均衡数据集,实现了一种基于双ν支持向量机的异常入侵检测方法,其基本思想是对具有不同数目的样本类别赋予不同的惩罚因子,从而使两种类别的分类错误率趋于平衡。
4)  imbalance data set
不均衡样本集
5)  imbalanced data sets
不均衡数据集
1.
Research of method to generate samples of class with fewer samples in imbalanced data sets text categorization
不均衡数据集文本分类中少数类样本生成方法研究
6)  concentration training
集中训练
1.
The key for implementing professional skills identification lies in taking modularized curriculum system as the framework,integrating skills identification with diploma education examination,adopting the method of combination of curriculum alternation,concentration training with examination for certificate,and strengthening the cultivation of students operational abilities.
实施职业技能鉴定的关键在于以模块式课程体系为框架,将技能鉴定与学历教育考核融为一体,采用课程穿插、集中训练、考证相结合的方法,强化学生动手能力培养。
补充资料:训练集
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性质:又称训练集。在人工神经网络法中,用一定容量的样本值来训练网络,求得各神经元之间的连接权重,以建立网络模型,用来训练网络的样本值,称为学习样本。

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