Discretized Tikhonov regularization by reproducing kernel Hilbert space for backward heat conduction problem.
Y. C. HonTomoya TakeuchiPublished in: Adv. Comput. Math. (2011)
Keyphrases
- reproducing kernel hilbert space
- tikhonov regularization
- loss function
- kernel methods
- special case
- kernel function
- learning theory
- euclidean space
- real valued
- gaussian process
- density estimation
- data dependent
- distance measure
- domain adaptation
- input space
- vector valued
- learning problems
- image restoration
- regularization parameter
- linear model
- kernel matrix
- machine learning
- mixture model
- feature space
- support vector
- reinforcement learning