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。

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A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in a small set of samples.

提出一种在小样本的情况下，基于多层贝叶斯网络的医学图像语义建模方法。

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