Estimating Dynamic Graphical Models from Multivariate Time-series Data.
Alexander J. GibberdJames D. B. NelsonPublished in: AALTD@PKDD/ECML (2015)
Keyphrases
- graphical models
- belief propagation
- random variables
- probabilistic inference
- probabilistic model
- markov networks
- approximate inference
- multivariate time series data
- conditional random fields
- graph structure
- belief networks
- structure learning
- multivariate time series
- bayesian networks
- conditional independence
- segmentation method
- pairwise
- data structure