Learning discrete hidden Markov models
Luís Geraldo P. Meloni · Computer Applications in Engineering Education · 2000
This paper describes a learning program for discrete Hidden Markov Models (HMM). The learning of the theory of hidden Markov models is a hard task and many students have been disappointed after the first equations. This program attempts to facilitate the learning of the theory by means of a spread sheet interface for interactive user simulations. The spread sheet of observation probabilities simplify the understanding of several discrete HMM equations. The program allows the student to observe several convergence properties of the training algorithm. © 2000 John Wiley & Sons, Inc. Comput Appl Eng Educ 8: 141–149, 2000