Incremental learning in terms of output attributes

Journal of Intelligent Systems

Saved in:
Bibliographic Details
Main Authors: Guan, S.-U., Li, P.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/56310
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-56310
record_format dspace
spelling sg-nus-scholar.10635-563102015-01-07T04:25:01Z Incremental learning in terms of output attributes Guan, S.-U. Li, P. ELECTRICAL & COMPUTER ENGINEERING Incremental learning Neural networks Output attributes Supervised learning Journal of Intelligent Systems 13 2 95-122 JISYE 2014-06-17T02:53:08Z 2014-06-17T02:53:08Z 2004 Article Guan, S.-U.,Li, P. (2004). Incremental learning in terms of output attributes. Journal of Intelligent Systems 13 (2) : 95-122. ScholarBank@NUS Repository. 03341860 http://scholarbank.nus.edu.sg/handle/10635/56310 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Incremental learning
Neural networks
Output attributes
Supervised learning
spellingShingle Incremental learning
Neural networks
Output attributes
Supervised learning
Guan, S.-U.
Li, P.
Incremental learning in terms of output attributes
description Journal of Intelligent Systems
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
Guan, S.-U.
Li, P.
format Article
author Guan, S.-U.
Li, P.
author_sort Guan, S.-U.
title Incremental learning in terms of output attributes
title_short Incremental learning in terms of output attributes
title_full Incremental learning in terms of output attributes
title_fullStr Incremental learning in terms of output attributes
title_full_unstemmed Incremental learning in terms of output attributes
title_sort incremental learning in terms of output attributes
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/56310
_version_ 1681084658310184960