Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation.
Benjamin PachevJared P. WhiteheadShane A. McQuarriePublished in: CoRR (2021)
Keyphrases
- parameter learning
- bayesian networks
- structure learning
- generative model
- statistical learning
- em algorithm
- conditional random fields
- maximum likelihood
- markov random field
- approximate inference
- parameter estimation
- expectation maximization
- graphical models
- cross validation
- computer vision
- probabilistic model
- hidden variables
- random variables
- semi supervised