Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport.
Ricardo BaptistaLianghao CaoJoshua ChenOmar GhattasFengyi LiYoussef M. MarzoukJ. Tinsley OdenPublished in: J. Comput. Phys. (2024)
Keyphrases
- bayesian model
- information gain
- gain ratio
- bayesian inference
- correlation coefficient
- chi squared
- bayesian framework
- decision trees
- text categorization
- mutual information
- similarity measure
- feature selection
- conditional probabilities
- naive bayes
- posterior distribution
- multi task learning
- maximum likelihood
- feature subset
- data sets
- posterior probability
- em algorithm
- knn
- feature extraction