Knowledge comes from the classification ability directed at the object by human being.
知识源于人类对对象的分类能力。
参考来源 - 计算机辅助的机构运动行为知识表示及推理At last,Boosting learning and SVM which are developed on Computational Learning Theory were investigated to improve the classification ability and generalization ability.
最后,以提高算法的分类识别率和泛化能力为出发点,研究了在计算学习相关理论基础上发展的集成学习和支持向量机。
参考来源 - 基于计算学习的水淹层识别方法·2,447,543篇论文数据，部分数据来源于NoteExpress
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
The classification ability was verified by support vector machines algorithm with various kernel functions.
采用不同核函数的支持向量机算法验证分类能力。
By comparison, LVQ network was better than the others in classification ability and training cost, and PNN network in computation load and easy use.
比较而言，学习矢量量化网络在分类能力和训练成本方面更胜一筹，而概率神经网络则在计算负载和易用性方面更好一些。
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