Kernel Bayesian ART and ARTMAP

Volume: 98, Pages: 76 - 86
Published: Feb 1, 2018
Abstract
Adaptive Resonance Theory (ART) is one of the successful approaches to resolving "the plasticity-stability dilemma" in neural networks, and its supervised learning model called ARTMAP is a powerful tool for classification. Among several improvements, such as Fuzzy or Gaussian based models, the state of art model is Bayesian based one, while solving the drawbacks of others. However, it is known that the Bayesian approach for the high dimensional...
Paper Details
Title
Kernel Bayesian ART and ARTMAP
Published Date
Feb 1, 2018
Volume
98
Pages
76 - 86
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