Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel.
Yutong WangClayton ScottPublished in: NeurIPS (2022)
Keyphrases
- feature space
- laplacian eigenmaps
- kernel function
- riemannian manifolds
- decision trees
- manifold learning
- euclidean space
- kernel learning
- ensemble learning
- clifford algebra
- graph embedding
- graph laplacian
- positive definite
- kernel pca
- random forests
- ensemble methods
- high dimensional
- support vector
- manifold structure
- input space
- basis functions
- low dimensional