Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks.
Danny D'AgostinoIlija IlievskiChristine Annette ShoemakerPublished in: CoRR (2023)
Keyphrases
- radial basis function
- neural network
- learning algorithm
- feature extraction
- knn
- radial basis function network
- rbf neural network
- neural nets
- feature vectors
- feature selection
- genetic algorithm
- artificial neural networks
- small number
- supervised learning
- k nearest neighbor
- feature space
- function approximation
- computer vision
- activation function