Referenced Items are not available for this document.
Classification involves associating instances with particular classes by maximizing intra-class similarities and minimizing inter-class similarities. The paper presents a novel approach to case-based classification. The algorithm is based on a notion of similarity assessment and was developed for supporting flexible retrieval of relevant information. Validity of the proposed approach is tested on real world domains, and the system's performance is compared to that of other machine learning algorithms.
Published in:
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
Date of Conference: 16-19 Nov. 1996
- Page(s):
- 410 - 419
- ISSN :
- 1082-3409
- Print ISBN:
- 0-8186-7686-7
- INSPEC Accession Number:
- 5444201
- Digital Object Identifier :
- 10.1109/TAI.1996.560735
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
