An ART-based hybrid network for medical pattern classification tasks with missing data

Lim, Chee Peng, Kuan, MM and Harrison, RF 2003, An ART-based hybrid network for medical pattern classification tasks with missing data, in KNOWLEDGE-BASED INTELLIGNET INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Berlin, Germany, pp. 7-15.


Title An ART-based hybrid network for medical pattern classification tasks with missing data
Author(s) Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Kuan, MM
Harrison, RF
Conference name 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)
Conference location UNIV OXFORD, OXFORD, ENGLAND
Conference dates 2003/09/03 - 2003/09/05
Title of proceedings KNOWLEDGE-BASED INTELLIGNET INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
Editor(s) Palade, V
Howlett, RJ
Jain, L
Publication date 2003
Series LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Start page 7
End page 15
Total pages 9
Publisher SPRINGER-VERLAG BERLIN
Place of publication Berlin, Germany
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
NEURAL-NETWORK
MULTIDIMENSIONAL MAPS
ARCHITECTURE
RECOGNITION
ISBN 3540408045
ISSN 0302-9743
Language eng
Field of Research 08 Information And Computing Sciences
HERDC Research category EN.1 Other conference paper
Persistent URL http://hdl.handle.net/10536/DRO/DU:30099613

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 8 Abstract Views  -  Detailed Statistics
Created: Wed, 26 Jul 2017, 12:10:22 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.