Bayesian linear regression for Hidden Markov Model based on optimizing variational bounds.
Shinji WatanabeAtsushi NakamuraBiing-Hwang JuangPublished in: MLSP (2011)
Keyphrases
- linear regression
- loss bounds
- least squares
- upper bound
- regression methods
- regression problems
- lower bound
- regret bounds
- linear regression model
- ridge regression
- bayesian networks
- linear models
- worst case
- nonlinear regression
- square loss
- optical flow
- generalized linear models
- regression method
- maximum likelihood
- locally weighted
- image segmentation
- regression trees
- gaussian processes
- prior distribution
- bayesian inference