Information-Theoretic Limits of Selecting Binary Graphical Models in High Dimensions.
Narayana P. SanthanamMartin J. WainwrightPublished in: IEEE Trans. Inf. Theory (2012)
Keyphrases
- information theoretic
- graphical models
- high dimensions
- information theory
- mutual information
- high dimensional data
- belief propagation
- probabilistic model
- high dimensional
- approximate inference
- random variables
- probabilistic graphical models
- structure learning
- markov networks
- bayesian networks
- log likelihood
- poor quality
- conditional random fields
- kullback leibler divergence
- high dimensional spaces
- kl divergence
- probability distribution
- pattern recognition
- training data
- data sets
- bregman divergences
- gaussian process
- nearest neighbor
- image registration
- feature extraction