On Parameter Estimation in Deviated Gaussian Mixture of Experts.
Huy NguyenKhai NguyenNhat HoPublished in: AISTATS (2024)
Keyphrases
- parameter estimation
- gaussian mixture
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- mixtures of gaussians
- maximum likelihood estimation
- gaussian mixture model
- random fields
- probability density function
- statistical models
- parameter estimation algorithm
- generative model
- model selection
- closed form
- markov random field
- covariance matrix
- maximum a posteriori
- probabilistic model
- density estimation
- gaussian distribution
- posterior distribution
- least squares
- unsupervised learning
- image segmentation
- covariance matrices
- bayesian framework
- semi supervised
- face recognition
- supervised learning
- parameter estimates
- estimation problems
- graphical models
- machine learning