Sparse-Group Bayesian Feature Selection Using Expectation Propagation for Signal Recovery and Network Reconstruction.
Edgar SteigerMartin VingronPublished in: CoRR (2018)
Keyphrases
- signal recovery
- compressed sensing
- expectation propagation
- automatic relevance determination
- feature selection
- bayesian inference
- orthogonal matching pursuit
- compressive sensing
- gaussian process
- approximate inference
- image reconstruction
- marginal likelihood
- density estimation
- machine learning
- bayesian networks
- missing data
- dimensionality reduction
- random projections
- feature space
- sparse representation
- posterior distribution
- gaussian processes
- probabilistic inference
- high dimensional
- variational bayes
- belief propagation