On Parameter Estimation in Deviated Gaussian Mixture of Experts.
Huy NguyenKhai NguyenNhat HoPublished in: CoRR (2024)
Keyphrases
- parameter estimation
- gaussian mixture
- em algorithm
- expectation maximization
- maximum likelihood
- mixtures of gaussians
- mixture model
- gaussian mixture model
- statistical models
- markov random field
- maximum likelihood estimation
- random fields
- probabilistic model
- parameter estimation algorithm
- posterior distribution
- maximum a posteriori
- probability density function
- generative model
- unsupervised learning
- model selection
- covariance matrices
- density estimation
- covariance matrix
- closed form
- machine learning
- gaussian densities
- gaussian distribution
- pairwise
- energy function
- supervised learning
- knn
- estimation problems
- feature selection
- computer vision
- data mining