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.
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.
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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