Regularization incremental extreme learning machine with random reduced kernel for regression.
Zhiyu ZhouJi ChenZefei ZhuPublished in: Neurocomputing (2018)
Keyphrases
- extreme learning machine
- gaussian processes
- kernel ridge regression
- support vector regression
- reproducing kernel hilbert space
- kernel function
- kernel methods
- support vector
- gaussian process
- loss function
- feedforward neural networks
- regression model
- feed forward neural networks
- hidden nodes
- incremental learning
- neural network
- variable selection
- single layer
- support vector machine
- objective function
- hyperplane
- activation function
- neural nets
- input space
- learning problems
- model selection
- semi supervised
- reinforcement learning