NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters.
Benjamin LengerichCaleb EllingtonBryon AragamEric P. XingManolis KellisPublished in: CoRR (2021)
Keyphrases
- bayesian networks
- parameter learning
- conditional probability tables
- maximum likelihood
- domain specific
- parameter estimation
- high level
- estimation process
- rigid body
- probabilistic reasoning
- parameter values
- parameter space
- neural network
- hidden variables
- conditional independence
- sample size
- em algorithm
- graphical models
- bayesian belief networks
- hidden markov models
- learning bayesian networks
- probabilistic modeling
- graphical structure
- conditional distributions
- bayesian network models