maximum-likelihood criterion

基本解釋

A self-adaptive Kalman filtering algorithm based on the maximum likelihood estimation criterion and application of the self-adaptive filtering on integrated navigation system are researched.
研究了基于極大似然準則的自適應卡爾曼濾波及其在組合導航系統(tǒng)中的應用。首先介紹了利用極大似然估計準則提出的一種自適應卡爾曼濾波算法。
For unknown accented speech, by means of the logarithmic scores associated with each system and the maximum likelihood criterion, automatic accent classification of non-native speech can be made.
對于未知語音，根據各識別系統(tǒng)的概率得分，采用最大概率準則進行口音的分類判決。