采用过抽样、欠抽样技术来弥补数据类别分布不平衡对模型性能的不利影响。
Sampling methods including over-sampling, under-sampling were taken to make up the shortage caused by the imbalanced data.
空间积分抽样相位理论分析为消减欠采样产生的折叠混淆效应提供了理论依据。
Phase theory analysis of spatial integral sampling provide theoretical basis for under sampling aliasing reduction.
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