Active operator inference for learning low-dimensional dynamical-system models from noisy data.
Wayne Isaac Tan UyYuepeng WangYuxiao WenBenjamin PeherstorferPublished in: CoRR (2021)
Keyphrases
- noisy data
- dynamical systems
- noise tolerant
- predictive state representations
- low dimensional
- learning algorithm
- connectionist networks
- high dimensional
- dynamic bayesian networks
- differential equations
- state space
- probabilistic model
- phase space
- learning problems
- grammatical inference
- intrinsic dimensionality
- hidden state
- high dimensional data
- neural network
- dimensionality reduction
- dynamic programming
- reinforcement learning
- bayesian networks
- image processing
- machine learning
- data mining