On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples.
Nguyen Q. TranOleksii AbramenkoAlexander JungPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- non stationary
- graphical models
- belief propagation
- random variables
- probabilistic model
- probabilistic inference
- probabilistic graphical models
- approximate inference
- map inference
- bayesian networks
- structure learning
- random fields
- conditional random fields
- adaptive algorithms
- factor graphs
- markov networks
- empirical mode decomposition
- exact inference
- gaussian graphical models
- conditional independence
- graph structure
- belief networks
- spatio temporal
- conditional dependencies
- message passing
- multiresolution
- image processing
- computer vision