The following pages link to (Q3148817):
Displaying 50 items.
- Tikhonov, Ivanov and Morozov regularization for support vector machine learning (Q285946) (← links)
- Support vector machines maximizing geometric margins for multi-class classification (Q287612) (← links)
- A kernel learning framework for domain adaptation learning (Q362274) (← links)
- Learning rates of regularized regression on the unit sphere (Q365838) (← links)
- On asymptotic properties of Bayesian partially linear models (Q395922) (← links)
- On minimum distribution discrepancy support vector machine for domain adaptation (Q437778) (← links)
- Efficient cross-validation for kernelized least-squares regression with sparse basis expansions (Q439007) (← links)
- Support vector machines with applications (Q449731) (← links)
- A kernel-based framework to tensorial data analysis (Q456010) (← links)
- Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
- Kernelization of matrix updates, when and how? (Q465262) (← links)
- A linear recurrent kernel online learning algorithm with sparse updates (Q470190) (← links)
- Support vector machine with manifold regularization and partially labeling privacy protection (Q526695) (← links)
- Learning with generalization capability by kernel methods of bounded complexity (Q558012) (← links)
- Regularized least-squares regression: learning from a sequence (Q645620) (← links)
- A novel supervised dimensionality reduction algorithm: graph-based Fisher analysis (Q663375) (← links)
- Consistent learning by composite proximal thresholding (Q681492) (← links)
- Regularized learning in Banach spaces as an optimization problem: representer theorems (Q693135) (← links)
- Evolutionary combination of kernels for nonlinear feature transformation (Q726372) (← links)
- Apportioned margin approach for cost sensitive large margin classifiers (Q825011) (← links)
- Principal manifold learning by sparse grids (Q836948) (← links)
- Terminated Ramp--Support Vector machines: A nonparametric data dependent kernel (Q858897) (← links)
- Efficient calibration for imperfect computer models (Q892237) (← links)
- Non-negativity constraints on the pre-image for pattern recognition with kernel machines (Q898064) (← links)
- Multivariate spline analysis for multiplicative models: estimation, testing and application to climate change (Q901277) (← links)
- Iterative category discovery via multiple kernel metric learning (Q903469) (← links)
- A unified framework for semi-supervised dimensionality reduction (Q937423) (← links)
- Discriminatively regularized least-squares classification (Q955831) (← links)
- On-line independent support vector machines (Q962688) (← links)
- Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261) (← links)
- An algebraic characterization of the optimum of regularized kernel methods (Q1009329) (← links)
- Robustness of reweighted least squares kernel based regression (Q1049548) (← links)
- Fisher-regularized support vector machine (Q1671742) (← links)
- Convergence rates for a class of estimators based on Stein's method (Q1740521) (← links)
- Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking (Q1741234) (← links)
- System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
- Statistical properties of the method of regularization with periodic Gaussian reproducing kernel (Q1879972) (← links)
- Dynamical memory control based on projection technique for online regression (Q1955472) (← links)
- On structured output training: hard cases and an efficient alternative (Q1959508) (← links)
- Methods for the combination of kernel matrices within a support vector framework (Q1959546) (← links)
- An efficient algorithm for learning to rank from preference graphs (Q1959647) (← links)
- Regularization in a functional reproducing kernel Hilbert space (Q1979423) (← links)
- Application of mutual information estimation for predicting the structural stability of pentapeptides (Q1995681) (← links)
- Multi-task learning in vector-valued reproducing kernel Banach spaces with the \(\ell^1\) norm (Q1996886) (← links)
- The kernel Kalman rule. Efficient nonparametric inference by recursive least-squares and subspace projections (Q2008642) (← links)
- Quantification and compensation of thermal distortion in additive manufacturing: a computational statistics approach (Q2022058) (← links)
- When is there a representer theorem? Reflexive Banach spaces (Q2045091) (← links)
- Bayesian numerical methods for nonlinear partial differential equations (Q2058795) (← links)
- Sparsest piecewise-linear regression of one-dimensional data (Q2074905) (← links)
- Robustness by reweighting for kernel estimators: an overview (Q2075710) (← links)
