Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation.
Edmondo TrentinPublished in: ANNPR (2018)
Keyphrases
- maximum likelihood estimation
- experimental evaluation
- expectation maximization
- em algorithm
- probabilistic model
- parameter estimation
- mixture of gaussians
- maximum likelihood
- multivariate gaussian
- probability density
- objective function
- gaussian densities
- mixture model
- bayesian framework
- gaussian mixture
- probability distribution
- probability density function
- energy function
- boltzmann machine
- gaussian density
- kalman filter
- posterior probability
- detection algorithm
- similarity measure