| 分离错误最小化的极大熵方法 |
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| 引用本文： | 姜翠萍,董玉林,高莘莘. 分离错误最小化的极大熵方法[J]. 辽宁师范大学学报(自然科学版), 2006, 29(2): 160-162 |
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| 作者姓名： | 姜翠萍 董玉林 高莘莘 |
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| 作者单位： | 中国海洋大学,青岛学院,公共课教学部,山东,青岛,266300;大连理工大学,应用数学系,辽宁,大连,116024 |
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| 摘 要： | 分离错误最小化是支持向量机的基本问题之一．一种形式是最小化分离错误点的偏离和，这是一个不可傲优化问题，笔者提出用极大熵函数将其转化成可微凸规划问题来处理，得到原问题的近似最优解。
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| 关 键 词： | 分离错误最小化 分类超平面 极大熵方法 凸函数 |
| 文章编号： | 1000-1735(2006)02-0160-03 |
| 收稿时间： | 2005-04-20 |
| 修稿时间： | 2005-04-20 |
A Maximum Entropy Method for Misclassification Minimization |
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| JIANG Cui-ping,DONG Yu-lin,GAO Shen-shen. A Maximum Entropy Method for Misclassification Minimization[J]. Journal of Liaoning Normal University(Natural Science Edition), 2006, 29(2): 160-162 |
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| Authors: | JIANG Cui-ping DONG Yu-lin GAO Shen-shen |
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| Affiliation: | 1. Basic Courses of Teaching and Research Department, Qingdao College,Ocean University of China, Qingdao 266300,China;2. Department of Applied Mat hematics, Dalian University of Technology, Dalian 116024, China |
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| Abstract: | Misclassification Minimization is a fundamental problem of machine learning. It can be stated by a way of minimizing the sum of violations of misclassified points. It is NP-complete. The objective function is not differentiable. In this paper,a convex entropy function is used to solve the nondifferentiable optimal problem,and the approximate solution is achieved by this convex programming. |
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| Keywords: | misclassification minimization separation hyperplane maximum entropy method convex function |
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