在更新话题模型的过程中，尝试确定性和不确定性相结合的方式作为样本选择标准。
In the process of updating topic model, a method combining certainty and uncertainty is used to select samples.
支持向量机因其适用高维特征、小样本与不确定性问题的优越性，是一种极具潜力的高光谱遥感分类方法。
Support Vector Machines(SVM) is a potential hyperspectral remote sensing classification method because it is advantageous to deal with problems with high dimensions, small samples and uncertainty.
传统的测试性验证试验样本选取方法没有考虑测试对象的各故障模式之间的复杂性与不确定性关系。
The complex and uncertain relationship among failures is ignored in failure sample selection based on traditional testability demonstration experiment method.
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