1) imbalance of data
数据非平衡性
1.
The simulation results showed that the imbalance of data due to missing observations led to lower precision and lower exactness of variance component estimation,to underestimation of the error of fixed effects as well as to higher type Ⅰ error rate for fixed effect test.
利用蒙特卡罗(MonteCarlo)模拟考察了随机区组设计、裂区设计和条区设计因数据缺失形成的数据非平衡性对试验分析结果的影响。
2) Unbalanced data
非平衡数据
1.
In view of the current problems of high-speed network intrusion detection system,such as high packet loss rate,slow pace of testing for attacks and unbalanced data for detection,this paper proposed a new two-stage strategy with load balancing intrusion detection model.
在讨论非平衡数据处理的各种采样技术基础上,采用改进后的过抽样少数样本合成过采样技术(SMOTE)对网络数据进行预处理,采用AdaBoost、随机森林算法等进行分类。
3) Imbalanced data
非平衡数据
1.
Research on classification algorithms in imbalanced data based on boosting
基于推进的非平衡数据分类算法研究
2.
IG and CC, will be decreased because of either without considering the negative features, or without combining the positive features and negative features explicitly on imbalanced data.
在非平衡数据情况下,由于传统特征选择方法,如信息增益(Information Gain,IG)和相关系数(Correlation Coefficient,CC),或者不考虑负特征对分类的作用,或者不能显式地均衡正负特征比例,导致特征选择的结果下降。
3.
Since support vector machine is unfair to the rare class for the classification of imbalanced data,proposed an adjustment method of the separating hyperplane.
该方法可补偿非平衡数据分类的倾向性,提高预测分类精度。
5) Non-balance data
非平衡数据资料
6) unbalanced panel data
非平衡面板数据
1.
Given the importance of fund flows for fund managers and the supervisors of stock market, this paper examines whether fund families affect fund flows based on unbalanced panel data.
鉴于基金流量对基金管理者和股市监管者的重要性,本文利用非平衡面板数据实证分析了基金家族特征是否影响基金流量。
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
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