alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction.
He SunKatherine L. BoumanPaul TiedeJason J. WangSarah BluntDimitri MawetPublished in: CoRR (2022)
Keyphrases
- probabilistic inference
- conditional probabilities
- feature extraction
- graphical models
- weighted model counting
- bayesian networks
- belief networks
- message passing
- influence diagrams
- black hole
- context specific independence
- bayesian belief networks
- data sets
- approximate inference
- variable elimination
- support vector machine svm
- training set
- cooperative
- probabilistic reasoning
- feature selection