Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks.
Bhargob DekaLuong Ha NguyenJames-A. GouletPublished in: Neurocomputing (2024)
Keyphrases
- neural network
- decision theory
- sparse bayesian learning
- dempster shafer
- pattern recognition
- regression model
- neural nets
- relevance vector machine
- feed forward
- artificial neural networks
- bayesian networks
- belief functions
- gaussian processes
- posterior distribution
- genetic algorithm
- learning algorithm
- regression problems
- linear model
- fuzzy sets
- support vector regression
- bayesian inference
- neural network model
- fault diagnosis
- markov random field