Bayesian Inference for Sparse Generalized Linear Models.
Matthias W. SeegerSebastian GerwinnMatthias BethgePublished in: ECML (2007)
Keyphrases
- bayesian inference
- generalized linear models
- regression model
- logistic regression
- linear regression
- bayesian model
- dirichlet process
- probabilistic model
- prior information
- variational inference
- hyperparameters
- particle filter
- high dimensional
- regression methods
- decision trees
- markov chain monte carlo
- markov networks
- machine learning
- hidden variables
- latent variables
- co occurrence
- least squares
- support vector