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。
A pattern recognition problem is not only specified by a representation, but also by the set of examples given for training and evaluating a classifier in various stages.
模式识别问题不仅与表示方法有关，也跟用于在分类器设计各个阶段进行训练和测试的用例集有关。
The quality of training dataset directly affect the quality of pattern set, and so it affect the efficiency of detection.
训练数据集质量的高低直接影响特征模式库的质量，从而影响入侵检测系统的检测效果。
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