Date of Award
4-1983
Degree Name
Master of Science
Department
Computer Science
First Advisor
Dr. Michael Olinger
Access Setting
Masters Thesis-Open Access
Abstract
A learning strategy is developed for a class of probabilistic automata. Given an input sequence to the probabilistic automaton* and the output sequence arising from the probabilistic transition function of the automaton* the learning strategy will conjecture the probabilistic automata which cover the input - output sequence observed and will infer the probabilistic transition structure of the conjectured automata.
Recommended Citation
Reibling, Lyle Amos, "A Learning Strategy for a Class of Probabilistic Automata" (1983). Masters Theses. 1618.
https://scholarworks.wmich.edu/masters_theses/1618