2Scott,S.L.Bayesian Methods for Hidden Markov Models:Recursive Computing in the 21st Century[J].Journal of the American Statistical Association,2002,97:337-351.
3Tanner,M.A..Tools for Statistical Inference[M].Springer-Verlag,1996.
4Baum L E,Egon J A.An inequality with applications to statistical estimation for probabilistic functions of a Markov process and to a model for ecology[J].Bulletin of American Meteorological Society,1967,73 (2):360-363.
5Baker J K.The dragon system-an overview[J].IEEE Trans Acoust Speech Signal Processing,1975,23 (1):24-29.
6Schlapbach A,Bunke H.Using HMM based recognizers for writer identification and verification[J].Frontiers in Handwriting Recognition,2004,107 (1):167-172.
7Krogh A.Two methods for improving performance of an HMM and their application for gene finding[C]//Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology (ISMB).Halkidiki Greece:the University of Patras,1997:179-186.
8Gough J,Chothia C.Superfamily:HMMs representing all proteins of known structure.SCOP sequence searches,alignments and genome assignments[J].Nucleic Acids Res,2002,30 (1):268-272.
9Baum L E,Petrie T.Statistical inference for probabilistic functions of finite state Markov chains[J].Ann Math Stat,1966,37 (7):1554-1563.
10Baum L E,Eagon J A.An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology[J].Bull Amer Math Stat,1967,37 (2):360 -363.