Dimensionality Reduction with Extreme Learning Machine Based on Manifold Preserving.
Canyao LiJujian LvHuimin ZhaoRongjun ChenJin ZhanKaihan LinPublished in: BICS (2019)
Keyphrases
- extreme learning machine
- dimensionality reduction
- low dimensional
- manifold learning
- high dimensional
- support vector regression
- feedforward neural networks
- feed forward neural networks
- variable selection
- neural network
- high dimensional data
- principal component analysis
- feature space
- gaussian processes
- hidden nodes
- pattern recognition
- high dimensionality
- single layer
- data points
- dimension reduction
- linear discriminant analysis
- feature extraction
- back propagation
- feature selection
- support vector machine
- activation function
- fuzzy logic
- principal components
- multi layer
- genetic algorithm