A sparse Bayesian learning algorithm with dictionary parameter estimation.
Thomas L. HansenMihai-Alin BadiuBernard H. FleuryBhaskar D. RaoPublished in: SAM (2014)
Keyphrases
- parameter estimation
- learning algorithm
- maximum likelihood
- model selection
- least squares
- markov random field
- statistical models
- em algorithm
- parameter estimation algorithm
- random fields
- estimation problems
- approximate inference
- maximum likelihood estimation
- training data
- expectation maximization
- model fitting
- machine learning
- posterior distribution
- parameter values
- reinforcement learning
- learning problems
- learning tasks
- supervised learning
- pairwise
- prior model
- hidden markov models
- position estimation
- markov chain