Data-driven Soft Sensors using Factor Graphs and Gaussian Mixture Models.
Andreas GiengerOliver SawodnyPublished in: CDC (2021)
Keyphrases
- non stationary
- gaussian mixture model
- data driven
- factor graphs
- message passing
- graphical models
- mixture model
- belief propagation
- em algorithm
- feature vectors
- maximum likelihood
- latent variables
- gaussian model
- approximate inference
- expectation maximization
- feature space
- parameter learning
- probabilistic model
- gaussian distribution
- probability density function
- exact inference
- probabilistic graphical models
- image processing
- model construction
- markov networks
- probabilistic inference
- bayesian networks
- random variables
- parameter estimation
- markov random field