Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel.
Yutong WangClayton D. ScottPublished in: CoRR (2022)
Keyphrases
- laplacian eigenmaps
- feature space
- riemannian manifolds
- component analysis
- kernel function
- kernel methods
- euclidean space
- support vector
- high dimensional
- ensemble methods
- decision trees
- random forests
- manifold learning
- low dimensional
- graph embedding
- kernel pca
- reproducing kernel hilbert space
- clifford algebra
- multiscale
- kernel matrix
- geodesic distance
- input space
- gaussian kernel
- graph laplacian
- hilbert space
- parameter space
- dimensionality reduction