Inverse partitioned matrix-based semi-random incremental ELM for regression.
Guoqiang ZengFenxi YaoBaihai ZhangPublished in: Neural Comput. Appl. (2020)
Keyphrases
- orthogonal matrices
- extreme learning machine
- correlation matrix
- support vector regression
- incremental learning
- regression model
- matrix inversion
- jacobian matrix
- regression forests
- pseudo inverse
- covariance matrix
- regression algorithm
- linear regression
- incremental version
- ridge regression
- extreme learning machines
- square root
- simple linear
- single pass
- multi layer
- singular value decomposition
- least squares
- positive definite
- neural network
- linear algebra
- reproducing kernel hilbert space
- partial least squares
- regression problems
- locally weighted
- symmetric positive definite
- model selection
- machine learning