An adaptive RKHS regularization for Fredholm integral equations.
Fei LuMiao-Jung Yvonne OuPublished in: CoRR (2023)
Keyphrases
- reproducing kernel hilbert space
- reproducing kernel
- kernel methods
- loss function
- data dependent
- gaussian process
- special case
- rademacher complexity
- learning theory
- density estimation
- euclidean space
- kernel function
- tikhonov regularization
- numerical scheme
- regularized least squares
- mathematical model
- numerical solution
- distance measure
- differential equations
- real valued
- random projections
- linear systems
- hilbert space
- linear model
- domain adaptation
- linear equations
- machine learning
- input space
- learning problems