Bayesian Neural Networks with Domain Knowledge Priors.
Dylan SamRattana PukdeeDaniel P. JeongYewon ByunJ. Zico KolterPublished in: CoRR (2024)
Keyphrases
- domain knowledge
- neural network
- bayesian approaches
- bayesian models
- prior distribution
- prior knowledge
- pattern recognition
- prior probabilities
- domain experts
- belief nets
- fuzzy logic
- bayesian networks
- bayesian framework
- artificial neural networks
- back propagation
- fuzzy systems
- neural nets
- posterior probability
- bayesian learning
- image prior
- multilayer perceptron
- feed forward
- knowledge sources
- neural network model
- dirichlet prior
- background knowledge
- training data
- scoring metrics
- posterior distribution
- gaussian processes
- decision theory
- knowledge acquisition
- bayesian estimation
- genetic algorithm
- prior domain knowledge
- metropolis hastings algorithm
- generalized em algorithm
- domain models
- activation function
- training process
- multi layer
- recurrent neural networks
- prior information
- domain ontology
- self organizing maps
- sufficient conditions