Auto-association under the optimal Bayesian rule is clarified: BCPNN beats it when naive-Bayes assumptions fail, and adaptive noise estimation with core-retrieval pushes Bayesian capacity to 1603 patterns at n=1024.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Neural auto-association with optimal Bayesian learning
Auto-association under the optimal Bayesian rule is clarified: BCPNN beats it when naive-Bayes assumptions fail, and adaptive noise estimation with core-retrieval pushes Bayesian capacity to 1603 patterns at n=1024.