Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection.
Daofu GuoZhigang RenYongsheng LiangAn ChenPublished in: CEC (2020)
Keyphrases
- radial basis function
- random projections
- high dimensional
- dimensionality reduction
- rbf neural network
- low dimensional
- rbf network
- dimension reduction
- high dimensionality
- neural network
- artificial neural networks
- basis functions
- support vector machine svm
- support vector
- sparse representation
- feature space
- support vector machine
- data points
- image reconstruction
- linear combination
- principal component analysis
- nearest neighbor
- original data
- feature extraction
- high dimensional data
- linear discriminant analysis
- computer vision
- similarity search
- least squares
- document clustering
- semi supervised
- pattern recognition
- random sampling
- machine learning