Learning Linear Bayesian Networks with Latent Variables.
Animashree AnandkumarDaniel J. HsuAdel JavanmardSham M. KakadePublished in: ICML (1) (2013)
Keyphrases
- latent variables
- hidden variables
- bayesian networks
- latent variable models
- learning algorithm
- prior knowledge
- structured output
- supervised learning
- learning problems
- probabilistic model
- parameter learning
- structural svms
- markov networks
- approximate inference
- active learning
- learning tasks
- random variables
- generative model
- graphical models
- markov random field
- structured prediction
- knowledge discovery
- probability distribution