Explaining Bayesian Neural Networks.

Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Müller Frederick Klauschen Shinichi Nakajima Marius Kloft

Published in: CoRR (2021)

Keyphrases

multi layer
neural network
neural nets
bayesian decision
bayesian networks
bayesian estimation

bayesian learning
artificial neural networks
bayesian inference
pattern recognition
fuzzy logic
maximum likelihood

posterior probability
bayesian analysis
genetic algorithm
reinforcement learning
cellular neural networks
learning rules

fuzzy neural network
network architecture
fuzzy systems
decision trees
recurrent neural networks
back propagation