Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.

对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。

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To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.

将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。

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