A modelling method of probabilistic outputs for support vector machines ( svm ) based on the maximum entropy estimation is proposed 摘要提出一种基于最大熵估计的支持向量机概率建模方法。
To the problem that the standard svm does not provide probabilities output , the probabilistic outputs for support vector machines is modeled based on the maximum entropy estimation 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。