Maximum a-posteriori estimation in linear models with a random Gaussian model matrix: A Bayesian-EM approach.
Ido NevatGareth W. PetersJinhong YuanPublished in: ICASSP (2008)
Keyphrases
- maximum a posteriori estimation
- linear models
- gaussian model
- gaussian distribution
- maximum likelihood
- expectation maximization
- gaussian processes
- gaussian mixture model
- linear model
- variable selection
- em algorithm
- mixture model
- linear regression
- gaussian process
- probabilistic model
- bayesian framework
- hyperparameters
- singular value decomposition
- computer vision
- bayesian networks
- multi task
- unsupervised learning
- conditional independence
- generative model
- multi view