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(zhǔn)則的自適應(yīng)卡爾曼濾波及其在組合導(dǎo)航系統(tǒng)中的應(yīng)用。首先介紹了利用極大似然估計準(zhǔn)則提出的一種自適應(yīng)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(jù)各識別系統(tǒng)的概率得分，采用最大概率準(zhǔn)則進行口音的分類判決。