A modelling method of probabilistic outputs for support vector machines ( svm ) based on the maximum entropy estimation is proposed 摘要提出一種基于最大熵估計的支持向量機概率建模方法。
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 針對傳統(tǒng)的支持向量機方法不能提供后驗概率的輸出問題,從信息熵的角度采用最大熵估計方法,直接對支持向量機輸出進行后驗概率建模。