Maximum Likelihood Estimation Algorithm of Dynamic Fuzzy
Jing Zhang · Modern Computer · 2010
A wide application of machine learning is maximum likelihood estimation(MLE).EM algorithm is an efficient tool to deal with the maximum likelihood estimation,but its convergence rate is not high.Because of many incomplete data existing in machine learning,introduces the α-EM algorithm,proposes the dynamic fuzzy maximum likelihood estimation algorithm based on α-EM and incomplete data,and gives a validated example.