Data-Driven Approximation of Koopman-Invariant Subspaces with Tunable Accuracy.
Masih HaseliJorge CortésPublished in: ACC (2021)
Keyphrases
- data driven
- high accuracy
- relative error
- classification accuracy
- error rate
- high dimensional
- computational cost
- maximum error
- feature space
- error tolerance
- model selection
- linear computational complexity
- highly accurate
- precision and recall
- closed form
- computational efficiency
- high dimensional data
- data sets
- low dimensional
- principal component analysis
- learning algorithm