Click here for immediate access to the latest key research articles

Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks 

Authors: Ryotaro Kamimura;  Taeko Kamimura; Haruhiko Takeuchi

DOI: 10.1080/09540090210162065

Publication Frequency: 4 issues per year

Published in: Connection Science, Volume 14, Issue 2 June 2002 , pages 137 - 162

Subjects: Cognitive Artificial Intelligence.; Cognitive Psychology; Cognitive Science; Computational Linguistic & Language Recognition; Connectionism/Neural Nets; Cybernetics;

Number of References: 31

Formats available: PDF (English)

Article Requests: Order Reprints : Request Permissions

• Sign In
• Online Sample

Recommending 'Greedy information acquisition algorithm: a new information theoretic approach to dynamic information acquisition in neural networks'

This service is temporarily unavailable.

Please copy the URL in your address bar and email it direct to your colleague or librarian to recommend this resource.