A bayesian mixture model with linear regression mixing proportions.
Xiuyao SongChris JermaineSanjay RankaJohn GumsPublished in: KDD (2008)
Keyphrases
- linear regression
- mixture model
- maximum likelihood
- least squares
- dirichlet prior
- gaussian mixture model
- probabilistic model
- em algorithm
- generative model
- variational inference
- posterior probability
- model selection
- density estimation
- bayesian inference
- expectation maximization
- unsupervised learning
- bayesian networks
- language model
- nonlinear regression
- probabilistic mixture model
- mixture modeling
- probability density function
- dirichlet process
- generalized em algorithm
- gaussian mixture
- posterior distribution
- exponential family