By Topic

Case-based systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Juell, P. ; North Dakota State Univ., Fargo, ND, USA ; Paulson, P.

Because reinforcement-trained case-based reasoning systems derive a similarity function through interaction with their environment, they can adapt to user needs. RETCBR techniques let researchers apply case-based reasoning in domains where case similarity is difficult to define.

Published in:

Intelligent Systems, IEEE  (Volume:18 ,  Issue: 4 )