给出了使用多支持向量机进行增量学习的算法。

An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.

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为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。

In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.

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本算法在保证分类准确度的同时，在增量学习问题上比传统的支持向量机有效。

This algorithm, in the incremental study question, is more effective than the traditional support vector machine, with assuring the classify accuracy.

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提出了一种新的基于壳向量的增量式支持向量机快速学习算法。

A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.

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提出了一种新的基于壳向量的增量式支持向量机快速学习算法。

A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.

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