Distributed Parameter Estimation in Probabilistic Graphical Models.
Yariv Dror MizrahiMisha DenilNando de FreitasPublished in: NIPS (2014)
Keyphrases
- parameter estimation
- probabilistic graphical models
- approximate inference
- parameter learning
- maximum likelihood
- markov networks
- graphical models
- least squares
- markov random field
- exact inference
- model selection
- em algorithm
- random fields
- distributed systems
- parameter estimation algorithm
- expectation maximization
- maximum likelihood estimation
- belief propagation
- conditional random fields
- latent variables
- structure learning
- variational methods
- posterior distribution
- first order logic
- random variables
- fuzzy logic
- markov logic networks
- transfer learning
- belief functions
- machine learning
- high dimensional
- pairwise