求翻译：由于它对于分类面的判决只依赖于支持向量，所以其泛化性和鲁棒性好，对于解决小样本以及高维特征的模式识别有着非常优异的表现。是什么意思？

As for the classification judgment of the surface only rely on the support vector, so the generalization and robustness has a very excellent performance for pattern recognition to solve the small sample and high dimensional feature.

Because of its classification for the judgment is dependent on support vector, so that the pan, and stick to the solution of small samples, as well as high-dimensional characteristics of the pattern recognition is a very high performance.

Because it only relies on regarding the classified surface decision the support vector, therefore it exudes the chemical property and robustness is good, regarding solves the small sample as well as the high Uygur characteristic pattern recognition has the extremely outstanding performance.

Since it is judgment depends only on support vector classification and generalization of its robustness and good, to solve the small sample and pattern recognition has a very high-dimensional feature of outstanding performance.

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