Simplex basis function based sparse least squares support vector regression.
Xia HongRichard J. MitchellGiuseppe Di FattaPublished in: Neurocomputing (2019)
Keyphrases
- basis functions
- linear combination
- radial basis function
- state space
- sparse coding
- high dimensional
- sparse representation
- sparse data
- linear programming
- simplex algorithm
- compressive sensing
- feed forward neural networks
- pattern recognition
- linear approximation
- factored mdps
- neural network
- set of basis functions
- dynamic programming
- support vector
- feature selection