EM Converges for a Mixture of Many Linear Regressions.
Jeongyeol KwonConstantine CaramanisPublished in: CoRR (2019)
Keyphrases
- expectation maximization
- mixture model
- gaussian densities
- em algorithm
- linear model
- optimal solution
- probabilistic model
- maximum likelihood
- generative model
- gaussian distribution
- real time
- multiscale
- neural network
- gaussian mixture model
- closed form
- finite mixture model
- quadratic programming
- image segmentation
- bayesian framework
- decision trees
- machine learning
- gaussian mixture
- piecewise linear
- linear models
- linear systems
- semi supervised
- linear constraints
- mixture of gaussians
- case study