1) eliminating class noise
类别噪声裁剪
1.
This paper presents a novel algorithm for eliminating class noise based on the analysis of the feature class attribute in text classification.
提出一种应用文本特征的类别属性进行文本分类过程中的类别噪声裁剪(Eliminating class noise,ECN)的算法。
2) noise type identification
噪声类型识别
3) blanking noise
冲裁噪声
4) Clustering Reducing
聚类裁剪
5) ultrasonic cutting tool
超声裁剪刀
6) Noise Recognition
噪声识别
1.
Taking noise recognition and noise reduction of traffic volume time series which are commonly used traffic data as example,several experimental results are illustrated.
以常用的交通数据———交通量时间序列的实测数据为例,给出多个噪声识别及消噪预处理的实验结果。
补充资料：裁剪
1.见"裁翦"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条