Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression.
Jeongyeol KwonConstantine CaramanisPublished in: CoRR (2018)
Keyphrases
- linear regression
- em algorithm
- global convergence
- expectation maximization
- mixture model
- gaussian mixture
- global optimum
- least squares
- convergence rate
- convergence speed
- mixture distribution
- optimization methods
- parameter estimation
- maximum likelihood
- generative model
- gaussian mixture model
- maximum a posteriori
- line search
- incomplete data
- maximum likelihood estimation
- particle swarm
- probabilistic model
- mixture components
- expectation maximisation
- log likelihood
- hyperparameters
- bayesian framework
- density estimation
- optimization method
- unsupervised learning
- probability density function
- linear models
- differential evolution
- image processing
- simulated annealing
- multi objective
- k means
- evolutionary algorithm
- image segmentation