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。
The problems of universality and extensibility in nonlinear function approximation using small samples can be solved by the method, it a very efficient technique for nonlinear function approximation.
支持向量机方法能够解决小样本情况下非线性函数拟合的通用性和推广性的问题，是求复杂的非线性拟合函数的一种非常有效的技术。
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。
The method most used on clean, fairly uniform formations utilizes small cylindrical samples, perm plugs.
对含泥很少、相当均质的岩层最常用的方法是利用小圆柱体泼姆塞样品。
In this paper, an identification method of bilinear system under small samples is proposed.
本文提出了双线性系统的一种小样本辨识方法。
The practice indicated that the method possesses higher accuracy with absolute value 1.61% of the average residual percentage. The model may be suitable for the price establishment of small samples.
实践表明，这种方法具有较高精度，平均残差百分比绝对值为1.61%，适合小样本单价的建立。
So, the semi-supervised learning method by learning a small number of labeling samples and a large number of samples to establish classifier came into being.
如此，通过对少量已标记样本和大量未标记的样本进行学习从而建立分类器的半监督学习方法应运而生。
Support Vector Machines(SVM) is an effective method applicable to the fault diagnosis and quality prediction when the samples are small.
支持向量机是一种适用于小样本情况下的故障诊断和质量预测的有效方法。
The method does provide a useful alternative where the measurements for the samples of small dimensions with high transmission loss are required.
在需要测量具有高隔声量的小试件时，这个方法更加有用。
In this paper, a new method is proposed for the measurements of sound insulation of light structures using small samples.
本文提出了小试件轻结构隔声测量的一种新方法。
The results indicate that using this method to analyze one batch of samples only needs 2 h, the cost of dissolved reagent is low and toxicity small, and the operation is simple and fast too.
结果表明，采用该方法分析一批样品只需2h，所用溶解试剂成本低、毒性小，且操作简单、快速。
The practical example shows that it is an effective method to analyze the small samples of mechanical component life-tests.
实例分析表明，本文方法是一种分析机械零件全寿命试验小子样样本的有效方法。
The method is rapid and interferences are small. Satisfactory results are got in determining of water and soil samples.
该方法分析速度快、干扰较少，对水样和土样分析均获满意的结果。
Method 86 blood samples from tip of small fingers were examined with THMMDI.
方法从86名志愿者中采小指尖血制成血涂片，以THMMDI进行检测。
Then the SVM based intermittent faults diagnostic method is presented. With the features extracted from small samples, the SVM models are trained to diagnose intermittent faults.
该方法通过少量样本训练出有效的模型，实现对间歇故障的诊断。
The results showed that only small amount of samples were needed in this method. Simple sample pretreatment and high recovery were proved.
结果证明，此方法样品用量少，处理程序简单，方法回收率较高，具有较好的实用价值。
Our method gains better estimation of data distributions and mitigates the unrepresentative problem of small-size training samples.
我们的方法得到了数据分布的较好估计，能够减轻小样本的无代表性问题。
Our method gains better estimation of data distributions and mitigates the unrepresentative problem of small-size training samples.
我们的方法得到了数据分布的较好估计，能够减轻小样本的无代表性问题。
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