Compressed Inference for Probabilistic Sequential Models.
Gungor PolatkanOncel TuzelPublished in: UAI (2011)
Keyphrases
- probabilistic model
- bayesian networks
- bayes nets
- probabilistic modeling
- experimental data
- statistical models
- random fields
- markov chain monte carlo methods
- probabilistic approaches
- gibbs sampler
- factor graphs
- data compression
- graphical models
- probabilistic reasoning
- structured prediction
- independence assumption
- neural network
- bayesian models
- computational models
- model selection
- learning algorithm