Learning mixed graphical models with separate sparsity parameters and stability-based model selection.
Andrew J. SedgewickIvy ShiRory M. DonovanPanayiotis V. BenosPublished in: BMC Bioinform. (2016)
Keyphrases
- model selection
- graphical models
- statistical inference
- statistical learning
- parameter estimation
- cross validation
- hyperparameters
- approximate inference
- random variables
- bayesian methods
- parameter learning
- automatic model selection
- maximum likelihood
- probabilistic model
- structure learning
- learning problems
- conditional random fields
- bayesian networks
- learning tasks
- marginal likelihood
- generalization error
- machine learning
- belief propagation
- sample size
- prior knowledge
- learning algorithm
- variable selection
- probabilistic inference
- active learning
- exact inference
- probabilistic graphical models