Optimal Kernel for Kernel-Based Modal Statistical Methods.
Ryoya YamasakiToshiyuki TanakaPublished in: CoRR (2023)
Keyphrases
- statistical methods
- optimal kernel
- multiple kernel
- multiple kernel learning
- kernel methods
- kernel function
- kernel matrices
- kernel learning
- linear combination
- feature space
- machine learning
- support vector machine
- statistical analysis
- support vector
- kernel trick
- kernel pca
- probability density function
- machine learning methods
- statistical approaches
- statistical models
- objective function
- kernel matrix
- learning problems
- convex sets
- data mining
- feature selection
- multiple features
- reproducing kernel hilbert space
- learning tasks
- statistical model
- string kernels
- higher order
- principal component analysis
- high dimensional
- training data