Semi-supervised topo-Bayesian ARTMAP for noisy data
This paper presents a novel semi-supervised ART network that inherits the ability of noise insensitivity, topology learning, and incremental learning from the Bayesian ARTMAP. It is combined with a label prediction strategy based on a clustering technique to determine the neighboring neurons. The pr...
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Main Authors: | Nooralishahi, Parham, Loo, Chu Kiong, Seera, Manjeevan |
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Format: | Article |
Published: |
Elsevier
2018
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Online Access: | http://eprints.um.edu.my/21117/ https://doi.org/10.1016/j.asoc.2017.10.011 |
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