Scalable Bayesian neural networks by layer-wise input augmentation.
Trung TrinhSamuel KaskiMarkus HeinonenPublished in: CoRR (2020)
Keyphrases
- neural network
- multi layer
- desired output
- pattern recognition
- artificial neural networks
- recurrent neural networks
- bayesian estimation
- genetic algorithm
- output layer
- neural nets
- back propagation
- bayesian inference
- multilayer perceptron
- fuzzy systems
- bayesian methods
- highly scalable
- machine learning
- decision trees
- data driven
- fuzzy logic
- user input
- synaptic weights
- training data
- hidden units
- pairwise
- probability distribution
- rule extraction
- bayesian learning
- neural network model
- decision theory
- input data
- maximum likelihood
- self organizing maps
- associative memory