计算机科学 ›› 2003, Vol. 30 ›› Issue (6): 113-117.

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支持向量机及其在模式识别中的应用

刘向东 朱美琳 陈兆乾 陈世福   

  1. 南京大学计算机科学与技术系南京大学计算机软件新技术国家重点实验室,南京210093
  • 出版日期:2003-06-15 发布日期:2018-11-17

  • Online:2003-06-15 Published:2018-11-17

摘要: Statistical learning theory(SLT)and support vector machine(SVM) are effective to solve problems of machine learning under the condition of finite samples.It is known that the performance of support vector machine is often better than that of some neural n

关键词: 机器学习 支持向量机 模式识别 统计学习理论

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