Scaling-up Importance Sampling for Markov Logic Networks.
Deepak VenugopalVibhav GogatePublished in: NIPS (2014)
Keyphrases
- importance sampling
- markov logic networks
- monte carlo
- structure learning
- approximate inference
- graphical models
- first order logic
- probabilistic reasoning
- markov networks
- kalman filter
- probabilistic graphical models
- markov chain
- bayesian networks
- particle filter
- computer vision
- particle filtering
- parameter estimation
- markov chain monte carlo
- machine learning
- least squares
- belief propagation
- probabilistic inference
- posterior distribution
- maximum likelihood
- probabilistic model
- reinforcement learning