Bayesian ARTMAP for regression

  title={Bayesian ARTMAP for regression},
  author={Lucian Sasu and Razvan Andonie},
  journal={Neural networks : the official journal of the International Neural Network Society},
Bayesian ARTMAP (BA) is a recently introduced neural architecture which uses a combination of Fuzzy ARTMAP competitive learning and Bayesian learning. Training is generally performed online, in a single-epoch. During training, BA creates input data clusters as Gaussian categories, and also infers the conditional probabilities between input patterns and categories, and between categories and classes. During prediction, BA uses Bayesian posterior probability estimation. So far, BA was used only… CONTINUE READING