Paper Info
Title
Learning behavior of stochastic automata in the last stage of learning
Abstract
In this paper, a learning behavior of stochastic automata acting in an unknown random environment is considered. Especially, a learning behavior of stochastic automata in the last stage of learning is investigated. Using the theory of Stochastic Stability and Control [9], it is shown that there exists an upper bound of the probability with which stochastic automaton goes back to an unfavorable state within some finite time.
Year
DOI
Venue
1975
10.1016/0020-0255(75)90030-4
Information Sciences
Field
DocType
Volume
Discrete mathematics,Quantum finite automata,Existential quantification,Upper and lower bounds,Automaton,Continuous-time stochastic process,Artificial intelligence,Stochastic automata,Stochastic cellular automaton,Mathematics,Machine learning,ω-automaton
Journal
9
Issue
ISSN
Citations 
4
0020-0255
1
PageRank 
References 
Authors
0.41
1
1
Name
Order
Citations
PageRank
Norio Baba113469.58