A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure
This paper attempts to solve the typical problems of self-organizing growing network models, i.e. (a) an influence of the order of input data on the self-organizing ability, (b) an instability to high-dimensional data and an excessive sensitivity to noise, and (c) an expensive computational cost by...
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| Format: | Article |
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World Scientific Publishing
2019
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