Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models.
Matthias W. SeegerHannes NickischPublished in: SIAM J. Imaging Sci. (2011)
Keyphrases
- bayesian inference
- experimental design
- linear models
- probabilistic model
- variable selection
- linear model
- active learning
- gaussian processes
- prior information
- hyperparameters
- linear regression
- empirical studies
- sample size
- high dimensional
- particle filter
- feature selection
- graphical models
- high dimensional data
- unsupervised learning
- model selection
- reinforcement learning