Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems.
Xingyun MaFeng DingPublished in: J. Frankl. Inst. (2015)
Keyphrases
- parameter estimation
- least squares
- state space
- maximum likelihood
- markov random field
- markov chain monte carlo
- estimation problems
- statistical models
- random fields
- model fitting
- em algorithm
- optical flow
- approximate inference
- graphical models
- expectation maximization
- parameter values
- posterior distribution
- structure learning
- reinforcement learning
- gibbs sampling
- learning algorithm