Estimation of Graphical Models through Structured Norm Minimization.
Davoud Ataee TarzanaghGeorge MichailidisPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- graphical models
- norm minimization
- belief propagation
- probabilistic model
- convex optimization
- approximate inference
- bayesian networks
- structure learning
- conditional random fields
- markov networks
- parameter estimation
- sparse representation
- unsupervised feature selection
- matrix completion
- interior point methods
- dimensionality reduction
- collaborative filtering
- sparse coding