Statistics for sparse, high-dimensional, and nonparametric system identification.
Anil AswaniPeter BickelClaire J. TomlinPublished in: ICRA (2009)
Keyphrases
- high dimensional
- sparse data
- low dimensional
- high dimension
- data points
- data driven
- multi modal
- sparse coding
- high dimensionality
- input output
- nearest neighbor
- similarity search
- dimensionality reduction
- feature space
- high dimensional data
- manifold learning
- additive models
- variable selection
- recurrent neural networks
- metric space
- parameter space
- dimension reduction
- statistical methods
- statistical inference
- hierarchical bayesian
- data sets
- noisy data
- input space
- density estimation
- parametric models
- multi dimensional
- principal component analysis
- high dimensional problems