Hierarchical incremental class learning with output parallelism

Journal of Intelligent Systems

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Main Authors: Guan, S.-U., Wang, K.
Other Authors: COMPUTER SCIENCE
Format: Article
Published: 2013
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/39232
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-392322015-01-08T06:20:56Z Hierarchical incremental class learning with output parallelism Guan, S.-U. Wang, K. COMPUTER SCIENCE Incremental learning Modular neural networks Output attributes Supervised learning Task decomposition Journal of Intelligent Systems 16 2 167-193 JISYE 2013-07-04T07:36:58Z 2013-07-04T07:36:58Z 2007 Article Guan, S.-U.,Wang, K. (2007). Hierarchical incremental class learning with output parallelism. Journal of Intelligent Systems 16 (2) : 167-193. ScholarBank@NUS Repository. 03341860 http://scholarbank.nus.edu.sg/handle/10635/39232 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Incremental learning
Modular neural networks
Output attributes
Supervised learning
Task decomposition
spellingShingle Incremental learning
Modular neural networks
Output attributes
Supervised learning
Task decomposition
Guan, S.-U.
Wang, K.
Hierarchical incremental class learning with output parallelism
description Journal of Intelligent Systems
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Guan, S.-U.
Wang, K.
format Article
author Guan, S.-U.
Wang, K.
author_sort Guan, S.-U.
title Hierarchical incremental class learning with output parallelism
title_short Hierarchical incremental class learning with output parallelism
title_full Hierarchical incremental class learning with output parallelism
title_fullStr Hierarchical incremental class learning with output parallelism
title_full_unstemmed Hierarchical incremental class learning with output parallelism
title_sort hierarchical incremental class learning with output parallelism
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/39232
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