Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory
Dominik JanzingDaniel HerrmannPublished in: CoRR (2003)
Keyphrases
- sparse data
- efficient inference
- bayesian networks
- probabilistic inference
- exact inference
- hidden variables
- junction tree
- approximate inference
- high dimensional
- markov networks
- graphical models
- statistical learning
- conditional random fields
- probabilistic model
- generative model
- probability distribution
- learning algorithm
- conditional probabilities
- markov random field
- random projections
- em algorithm
- prior knowledge
- feature space
- image processing
- computer vision