Numerical test results show that SVR has good ability of modeling nonstationary financial time series and good generalization under smalldataset available.
数值实验表明，SVR方法对非平稳的金融时间序列具有良好的建模和泛化能力。
2
Objective the method of three-dimension reconstruction with smalldataset was presented and then was used to investigate location and shape of the brain nucleus.
目的探索小数据量条件下三维重建方法，并用之研究脑内神经核团的空间形态和位置。
3
There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this smalldataset for training.