Data-driven kernel designs for optimized greedy schemes: A machine learning perspective.
Tizian WenzelFrancesco MarchettiEmma PerracchionePublished in: CoRR (2023)
Keyphrases
- data driven
- greedy algorithm
- kernel function
- kernel methods
- multiple kernel learning
- search algorithm
- feature space
- search space
- kernel regression
- dynamic programming
- kernel pca
- positive definite
- mutual subspace method
- greedy algorithms
- kernel space
- forward selection
- real time
- component analysis
- similarity function
- probabilistic model
- np hard
- high dimensional
- feature selection
- genetic algorithm