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基于支持向量机的分段线性学习方法
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作者 杨强 吴中福 王茜 《计算机科学》 CSCD 北大核心 2003年第4期136-138,共3页
In this paper, we discuss drawback of traditional subsection learning algorithm in pattern recognition and exiting support vector machines (including kernel functions), the necessity of using subsection learning algor... In this paper, we discuss drawback of traditional subsection learning algorithm in pattern recognition and exiting support vector machines (including kernel functions), the necessity of using subsection learning algorithm based on support vector machines as well as. In turn, a subsection learning algorithm based on support vector machines, is proposed in this paper. 展开更多
关键词 支持向量机 分段线性学习方法 学习算法 感知器 神经网络
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