Information-theoretic limits of selecting binary graphical models in high dimensions
Narayana P. SanthanamMartin J. WainwrightPublished in: CoRR (2009)
Keyphrases
- information theoretic
- graphical models
- high dimensions
- information theory
- mutual information
- belief propagation
- high dimensional data
- high dimensional
- random variables
- probabilistic model
- probabilistic graphical models
- approximate inference
- markov networks
- high dimensional spaces
- bayesian networks
- poor quality
- conditional random fields
- structure learning
- kl divergence
- kullback leibler divergence
- log likelihood
- bregman divergences
- exponential family
- image classification
- image registration
- data points
- nearest neighbor