我们怎样能证明一种归纳原理，如未来将和过去一样，或所谓“自然齐一性”原理是正确的呢？

How can we prove that an inductive principle is right, e. g. "the future will be the same as the past," or what is called "Uniformity of Nature"?

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支撑矢量机（SVM）是在VC理论的基础上根据结构风险最小归纳原理建立的一种比神经网络更强有力的学习机。

Support Vector Machine (SVM) is a kind of learning machines constructed according to SRM principle on the basis of VC theory, which is much more powerful man the neural networks.

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论文首先从理论上探讨动态目标的可视化，对动态电子地图的设计原理进行归纳和总结。

First, we discuss the visualization of the moving objects. We examine the principle during the process of designing dynamic electronic map.

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