Operator Inference of Non-Markovian Terms for Learning Reduced Models from Partially Observed State Trajectories.
Wayne Isaac Tan UyBenjamin PeherstorferPublished in: J. Sci. Comput. (2021)
Keyphrases
- partially observed
- structured prediction
- reinforcement learning
- learning algorithm
- learning process
- accurate models
- dynamic bayesian networks
- model selection
- knowledge acquisition
- background knowledge
- hidden variables
- prior knowledge
- undirected graphical models
- learning systems
- efficient learning
- parameter learning
- learning models
- temporally extended
- collective inference
- machine learning
- partially observable
- learning rules
- inductive inference
- approximate inference
- learning tasks
- statistical models
- conditional random fields
- machine learning algorithms
- parameter estimation
- dynamic environments
- online learning
- supervised learning
- probabilistic model