Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation

DOI10.1016/J.NEUNET.2006.10.003zbMath1158.68442OpenAlexW2029544180WikidataQ45965634 ScholiaQ45965634MaRDI QIDQ866743

N. E. Zubov

Publication date: 14 February 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.10.003

zbMATH Keywords

network partitioningdata miningpipeliningfuzzy ARTMAPBeowulf cluster

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• UCI-ml
• SLIQ
• SPRINT
• C4.5
• Fuzzy ARTMAP

Cites Work

• A very fast shift-register sequence random number generator
• Unnamed Item

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