Dynamic data-driven model reduction: adapting reduced models from incomplete data.

Benjamin Peherstorfer Karen Willcox

Published in: Adv. Model. Simul. Eng. Sci. (2016)

Keyphrases

incomplete data
data driven
probabilistic model
em algorithm
classification models
autoregressive
parameter estimation
models built
image processing
pattern recognition
statistical model
bayesian framework
missing data
hidden variables
statistical models
machine learning
bayesian networks
computer vision