This method is particularly useful for measuring very small samples because the dimensions of the sample and the spacing of the contacts are unimportant.
这种方法在测量非常小的样品时特别有用，因为这时样品的尺寸和接触点的距离并不重要。
Support vector machines (SVM) is a new nonlinear modeling method which is suitable for solving small samples and high dimension modeling problems.
支持向量机(SVM)作为一种新型的非线性建模方法，适合于处理小样本和高维数的建模问题。
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.
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。
应用推荐