Pages that link to "Item:Q357893"
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The following pages link to Regularization theory for ill-posed problems. Selected topics (Q357893):
Displaying 30 items.
- Randomized matrix approximation to enhance regularized projection schemes in inverse problems (Q5117403) (← links)
- On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise (Q5149777) (← links)
- Tikhonov regularization for polynomial approximation problems in Gauss quadrature points (Q5150823) (← links)
- Convergence analysis of distributed multi-penalty regularized pairwise learning (Q5220068) (← links)
- Analysis of regularized Nyström subsampling for regression functions of low smoothness (Q5236751) (← links)
- Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere (Q5253576) (← links)
- A Recursive Algorithm for MultiFrequency Acoustic Inverse Source Problems (Q5261601) (← links)
- Regularization of Fourier series with approximate coefficients for the problem of phase probability density function estimation (Q5882849) (← links)
- On the convergence rate and some applications of regularized ranking algorithms (Q5963450) (← links)
- A note on the prediction error of principal component regression in high dimensions (Q6050280) (← links)
- Semi-discrete Tikhonov regularization in RKHS with large randomly distributed noise (Q6050821) (← links)
- (Q6071045) (← links)
- Error guarantees for least squares approximation with noisy samples in domain adaptation (Q6071903) (← links)
- Numerical solution of the two-dimensional first kind Fredholm integral equations using a regularized collocation method (Q6095380) (← links)
- Parameter choice strategies for error expressions and the numerical stability of Tikhonov-regularized approximation formulae (Q6102414) (← links)
- A COLLOCATION METHOD FOR FREDHOLM INTEGRAL EQUATIONS OF THE FIRST KIND VIA ITERATIVE REGULARIZATION SCHEME (Q6107716) (← links)
- Inverse learning in Hilbert scales (Q6134325) (← links)
- On a Dynamic Variant of the Iteratively Regularized Gauss–Newton Method with Sequential Data (Q6141729) (← links)
- Efficient kernel canonical correlation analysis using Nyström approximation (Q6149897) (← links)
- On a class of linear regression methods (Q6153462) (← links)
- A duality approach to regularized learning problems in Banach spaces (Q6154551) (← links)
- Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise (Q6164171) (← links)
- Regularization method for the generalized moment problem in a functional reproducing kernel Hilbert space (Q6172738) (← links)
- Two-layer networks with the \(\text{ReLU}^k\) activation function: Barron spaces and derivative approximation (Q6191372) (← links)
- On the numerical solution of weakly singular integral equations of the first kind using a regularized projection method (Q6581419) (← links)
- Well-posedness and Tikhonov regularization of an inverse source problem for a parabolic equation with an integral constraint (Q6626981) (← links)
- A stochastic iteratively regularized Gauss-Newton method (Q6659675) (← links)
- A fast iterative regularization method for ill-posed problems (Q6661006) (← links)
- Regularization of linear inverse problems with irregular noise using embedding operators (Q6666617) (← links)
- Identification of the Memory Order in Multi-Term Semilinear Subdiffusion (Q6672042) (← links)
