Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks.
Andrija PetrovicSandro RadovanovicMladen NikolicBoris DelibasicMilos JovanovicPublished in: Appl. Soft Comput. (2023)
Keyphrases
- state estimation
- structured prediction
- independent variables
- dependent variables
- maximum margin
- kalman filter
- conditional random fields
- dynamic systems
- particle filter
- kalman filtering
- visual tracking
- markov networks
- approximate inference
- statistically significant
- attitudes toward
- efficient learning
- particle filtering
- college students
- regression analysis
- convex optimization
- latent variables
- belief networks
- statistical tests
- sparse representation
- regression model
- graphical models
- hidden markov models
- hyperplane
- feature selection
- markov random field
- state space
- probability distribution
- high dimensional
- learning environment