Uncertainty quantification of molecular property prediction with Bayesian neural networks.
Seongok RyuYongchan KwonWoo Youn KimPublished in: CoRR (2019)
Keyphrases
- neural network
- prediction accuracy
- decision theory
- prediction model
- neural network ensemble
- dempster shafer
- artificial neural networks to predict
- pattern recognition
- artificial neural networks
- protein function prediction
- prediction intervals
- back propagation
- prediction algorithm
- neural networks and support vector machines
- bayesian learning
- predictive model
- neural nets
- self organizing maps
- maximum likelihood
- fuzzy logic
- three dimensional
- genetic algorithm
- multi layer
- neural network model
- possibility theory
- missing data
- automatic relevance determination
- decision making