Author

Reibling

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.

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