ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Multi-state-choice automata model for expedient learning in random environment

Lakshminarasimhan, AL and Dasarathy, BV (1975) Multi-state-choice automata model for expedient learning in random environment. In: Information Sciences, 9 (2). pp. 91-98.

Full text not available from this repository. (Request a copy)
Official URL: http://www.sciencedirect.com/science?_ob=ArticleUR...

Abstract

A new automata model Mr,k, with a conceptually significant innovation in the form of multi-state alternatives at each instance, is proposed in this study. Computer simulations of the Mr,k, model in the context of feature selection in an unsupervised environment has demonstrated the superiority of the model over similar models without this multi-state-choice innovation.

Item Type: Journal Article
Publication: Information Sciences
Publisher: Elsevier Science
Additional Information: Copyright of this article belongs to Elsevier Science.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 03 Feb 2010 06:16
Last Modified: 03 Feb 2010 06:16
URI: http://eprints.iisc.ac.in/id/eprint/23881

Actions (login required)

View Item View Item