... ◎prepare sample 准备样品 ◎sample classification 样品分类 ◎organize a database with parameters 建立参数数据库 ...
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sample weight classification 试样重分类 ; 试样重量分类
These data fusion strategies have a distinct advantage—they can handle small sample classification problems, especially with the DS theory.
同时这些融合策略最大的特点是可以处理小样本分类问题,特别是使用DS证据理论作为信息融合的方法。
参考来源 - 支持向量机融合方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The final number of statistical categories is the ultimate sample classification.
最终统计类别数即为待测样品的最终分类。
The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.
给出的样本分类方法对各种领域多元参数回归应用具有重要意义。
The calculation of learning is simple, classification rule is simplified, and sample classification right ratio is high.
样本训练的计算简单，分类规则得到简化，样本的分类正确率高。
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