Supervised Bayesian Specification Inference from Demonstrations.
Ankit J. ShahPritish KamathShen LiPatrick L. CravenKevin J. LandersKevin OdenJulie ShahPublished in: CoRR (2021)
Keyphrases
- bayesian networks
- bayesian inference
- learning algorithm
- bayesian model selection
- bayesian model
- posterior probability
- high level
- semi supervised
- conditional probability tables
- statistical inference
- markov chain monte carlo
- belief networks
- probabilistic inference
- maximum likelihood
- supervised learning
- inference engine
- unsupervised learning
- probability distribution
- exact inference
- bayesian estimation
- belief nets
- inference process
- data driven
- bayesian models
- pairwise
- random fields
- dirichlet process mixture models
- bayesian analysis
- reactive systems
- gibbs sampling
- bayesian methods
- formal specification