与之相反，小样本数据和信息随处可见。
第三，对于小样本数据的非平稳性，没有一个合适的处理方法。
Third, there is not an appropriate approach to deal with the non-stationary of small sample data.
最后取一组小样本数据进行计算，实例结果表明所提出的方法合理有效。
At last an example is given to demonstrate the availability and ap-plication of the proposed method.
支持向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。
SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
大多数在这个领域的研究已经投入使用 小样本数据来自个人和方便的大学校园。
Most research in this area has usedsmall convenience samples or data from individual college campuses.
在OR L人脸库上的实验结果说明，该算法对小样本数据的识别具有明显优势。
In ORL face database, the experimental results prove that the algorithm outperforms traditional methods in small sample size problem.
通过对小样本数据的统计学习，能够推广到大规模数据中去进行结果的预测估计。
It could be generalized to test and estimate the big scale data by training the small sample.
马尔柯夫链适用于大样本数据序列的短期预测，而灰色系统预测方法适用于小样本数据的中期预测。
Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.
在应用频率直方图法对小样本数据进行处理时，分析结果对直方图的起点、区间步长以及样本中的奇异数据十分敏感。
The common frequency histogram method is not applicable to analyze the small sample data, because it is sensitive to the analysis parameters such as the starting point and the interval step.
结果表明，基于均匀设计、MATLAB建模与优化程序的小样本数据挖掘在氧化镍纳米晶合成试验中得到了成功的应用。
The results showed that the data mining base on uniform design and MATLAB programs of modeling and optimization was applied to synthesis of nanometer nickel oxide successfully.
在网络异常入侵检测中，应用基于QPSO的WLS - SVM算法效果显著，特别是对于小样本数据量具有良好的预测能力。
In the web anomaly intrusion detection, the application of the WLS-SVM based on QPSO algorithm, the results is significantly, especially to small sample size of data has good predictive ability.
目前一些常用的故障诊断方法都是以大样本数据为基础的，但通常在实际工程中得到的故障一般都是小样本数据，使其应用受到了一定的限制。
At present some commonly used fault diagnosis methods are based on the large samples data, however we employ the small samples data in the real project, therefore its application has been limited.
目前一些常用的故障诊断方法都是以大样本数据为基础的，但通常在实际工程中得到的故障一般都是小样本数据，使其应用受到了一定的限制。
At present some commonly used fault diagnosis methods are based on the large samples data, however we employ the small samples data in the real project, therefore its application has been limited.
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