Sequential parameter learning and filtering in structured autoregressive state-space models.
Raquel PradoHedibert Freitas LopesPublished in: Stat. Comput. (2013)
Keyphrases
- autoregressive
- parameter learning
- random fields
- moving average
- state space
- non stationary
- random field models
- conditional random fields
- image processing
- autoregressive moving average
- structure learning
- parameter estimation
- probabilistic model
- em algorithm
- markov random field
- segmentation method
- text classification
- least squares
- prior knowledge
- bayesian networks
- image segmentation
- machine learning