Bayesian theory and bayesian models are system introduced in the thesis 本文對(duì)貝葉斯理論和貝葉斯模型進(jìn)行介紹和討論。
In this paper , a modified bayesian model was introduced based on analysis of the bayesian model 本文在對(duì)已有的貝葉斯分類(lèi)方法進(jìn)行分析的基礎(chǔ)上,對(duì)該方法進(jìn)行了改進(jìn)。
Two steps were included : the first step was to label those documents containing latent class variables by blsa ; the second step was to label the rest by naive bayesian model with em algorithm 本算法不需要對(duì)大量訓(xùn)練樣本的類(lèi)別標(biāo)注,只需提供相應(yīng)的類(lèi)主題變量,從而提高了wsdl文檔分類(lèi)的自動(dòng)性和效率。