Keyphrases
- random projections
- extreme learning machine
- dimensionality reduction
- high dimensional
- variable selection
- feedforward neural networks
- low dimensional
- feed forward neural networks
- support vector regression
- dimension reduction
- high dimensionality
- high dimensional data
- neural network
- data points
- principal component analysis
- unsupervised learning
- gaussian processes
- hidden nodes
- pattern recognition
- feature selection
- singular value decomposition
- feature extraction
- feature space
- activation function
- nearest neighbor
- single layer
- linear discriminant analysis
- principal components
- sparse representation
- random sampling
- similarity search
- hash functions
- support vector machine
- probabilistic model