目前的平衡两层次样本轮换模式只适用于一级单元规模较小时的两阶段抽样月度调查。
The present balanced two-layer sample rotation system is applicable only to the monthly survey with two-stage sample designs and with small primary sampling units.
首先为克服由于样本数量不平衡性引起的小样本类别精度差的问题，引入由于样本差异的权重；
In order to improve the class accuracy of small number of samples caused by the imbalance of sample number, weight of sample difference is introduced.
根据样品的重量，这个系统在1至3分钟内将样本置于平衡状态。
Depending on the weight of the sample, this system will bring samples to equilibrium within 1 to 3 minutes.
因为样本大小有限，精确极限和导数不存在，最近似的导数可以洞悉游戏平衡性。
Because of the finite sample size, the precise limit and derivative does not exist. However, the approximate derivative will provide insight into the game balance.
本文构造了一种平衡的三层次样本轮换模式，解决了三阶段抽样季度调查的三层次样本轮换问题。
A balanced three-layer sample rotation pattern is presented in this paper to solve the problem of rotation for the quarterly surveys with three-stage sampling designs.
本文提出一种基于黎曼度量的训练样本类不平衡问题的分类方法。
A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.
本文提出一种基于黎曼度量的训练样本类不平衡问题的分类方法。
A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.
应用推荐