Constrained fuzzy evidential multivariate model identified by EM algorithm: a soft sensor to monitoring imprecise and uncertain process parameters.
Yong-sheng HaoZhi-gang SuPei-hong WangMing ZhaoPublished in: Soft Comput. (2017)
Keyphrases
- em algorithm
- expectation maximization
- parameter estimation
- maximum likelihood estimation
- soft sensor
- likelihood function
- maximum likelihood
- probabilistic model
- expectation maximisation
- gaussian mixture
- mixture model
- hyperparameters
- probability density function
- statistical model
- probability distribution
- generative model
- log likelihood
- mixture components
- industrial process
- model based clustering
- bayesian framework
- maximum a posteriori
- model selection
- fuzzy sets
- finite mixture models
- decision making
- machine learning
- finite mixture model
- log likelihood function
- finite mixtures
- maximum likelihood estimates
- generalized gaussian
- multivariate data
- hidden variables
- posterior probability
- gaussian mixture model
- missing data
- image segmentation
- image processing
- computer vision