Vine copulas as a mean for the construction of high dimensional probability distribution associated to a Markov Network
Edith KovácsTamás SzántaiPublished in: CoRR (2011)
Keyphrases
- markov networks
- probability distribution
- high dimensional
- posterior probability
- conditional probabilities
- bayesian networks
- probabilistic graphical models
- graphical models
- random variables
- maximum likelihood
- belief propagation
- low dimensional
- probabilistic model
- similarity search
- conditional independence
- bayesian inference
- markov random field
- hidden variables
- probability density function
- nearest neighbor
- document classification
- first order logic
- conditional random fields
- posterior distribution
- dimensionality reduction
- structure learning
- high dimensional data
- inductive logic programming
- domain knowledge
- stereo matching
- feature space
- machine learning
- image processing