Hidden Markov model definitions

This notebook defines a number of functions related to hidden Markov models. There are two main visualization functions defined: (1) DrawHMM[ ] and (2) DrawObservationSequence; there are to main import functions defined: (1) ReadHMM[ ] and (2) ReadObservationSequences[ ] -- these functions assume the same format as 'hmm_train', 'hmm_eval' and 'hmm_viterbi' (see source code on web site); finally a number of HMM algorithmic functions are defined: (1) FloorHMM[ ], (2) RandomHMM[ ], (3) GenerateObservationSequence, (4) LogProb[ ], (5) NormProb[ ], (6) DecodeHMM[ ] and (7) TrainHMM (function name indicate the main role of each function).    

Created by Mathematica  (October 20, 2003)