Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond.
Fanghui LiuXiaolin HuangYudong ChenJohan A. K. SuykensPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- benchmark datasets
- feature space
- error bounds
- data sets
- interesting features
- linear algebra
- learning algorithm
- learning models
- computational cost
- theoretical analysis
- computationally efficient
- kernel function
- feature vectors
- genetic algorithm
- model selection
- feature set
- image features
- significant improvement
- theoretical framework
- similarity function
- feature extraction
- feature maps
- mathematical foundations
- neural network