Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks.
Longze LiJiang ChangAleksandar VakanskiMin XianPublished in: CoRR (2023)
Keyphrases
- neural network
- regression model
- prediction intervals
- prediction accuracy
- sparse bayesian learning
- prediction model
- radial basis function network
- decision theory
- gaussian processes
- linear regression model
- input output
- artificial neural networks to predict
- prediction algorithm
- support vector regression
- pattern recognition
- uncertain data
- neural networks and support vector machines
- fuzzy logic
- neural network ensemble
- predictive clustering trees
- back propagation
- multi layer perceptron
- neural network model
- artificial neural networks
- prediction error
- recurrent neural networks
- regression algorithm
- linear regression
- nonlinear systems
- feed forward
- dempster shafer
- bayesian networks
- target variable
- posterior distribution
- relevance vector machine
- regression methods
- predictive model
- support vector
- machine learning