-norm regularized sparse parameter estimation using the EM algorithm.
Rodrigo CarvajalJuan C. AgüeroBoris I. GodoyDimitrios KatselisPublished in: CoRR (2015)
Keyphrases
- parameter estimation
- em algorithm
- expectation maximization
- maximum likelihood
- estimation problems
- mixture model
- generative model
- maximum likelihood estimation
- least squares
- gaussian mixture model
- random fields
- objective function
- parameter estimation algorithm
- hyperparameters
- posterior distribution
- maximum a posteriori
- high dimensional
- likelihood function
- log likelihood
- gibbs sampling
- hidden variables
- gaussian mixture
- expectation maximisation
- incomplete data
- bayesian model selection
- approximate inference
- probabilistic model
- markov chain monte carlo
- density estimation