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Probabilistic Outputs for Support Vector Machines Based on the Maximum Entropy Estimation
Author(s): 
Pages: 767-770
Year: Issue:  7
Journal: CONTROL AND DECISION

Keyword:  支持向量机概率建模最大熵估计;
Abstract: 提出一种基于最大熵估计的支持向量机概率建模方法.针对传统的支持向量机方法不能提供后验概率的输出问题,从信息熵的角度采用最大熵估计方法,直接对支持向量机输出进行后验概率建模.实验结果表明,与同类算法相比,所提出的基于最大熵估计的概率建模方法具有优良的性能.
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