The following pages link to (Q3996207):
Displaying 50 items.
- Efficiency of classification methods based on empirical risk minimization (Q844356) (← links)
- Group-wise point-set registration using a novel CDF-based Havrda-Charvát divergence (Q847527) (← links)
- Kernel-based methods for inversion of the Radon transform on SO(3) and their applications to texture analysis (Q849615) (← links)
- Adaptive penalized M-estimation with current status data (Q853825) (← links)
- Randomly shifted lattice rules for unbounded integrands (Q855892) (← links)
- Input estimation in nonlinear dynamical systems using differential algebra techniques (Q858943) (← links)
- Continuous and discrete least-squares approximation by radial basis functions on spheres (Q860692) (← links)
- The combination technique and some generalisations (Q860989) (← links)
- Regression models for functional data by reproducing kernel Hilbert spaces methods (Q866626) (← links)
- Component selection and smoothing in multivariate nonparametric regression (Q869970) (← links)
- Multi-kernel regularized classifiers (Q870343) (← links)
- Efficiently updating and tracking the dominant kernel principal components (Q872404) (← links)
- Splines in higher order TV regularization (Q878255) (← links)
- Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems (Q880419) (← links)
- Asymptotic behaviour of mean uniform norms for sequences of Gaussian processes and fields (Q881405) (← links)
- Efficient calibration for imperfect computer models (Q892237) (← links)
- Intrinsic random functions and universal kriging on the circle (Q893445) (← links)
- Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator (Q895270) (← links)
- Optimal a priori discretization error bounds for geodesic finite elements (Q895697) (← links)
- Bayesian adaptive smoothing splines using stochastic differential equations (Q899029) (← links)
- A note on Bayes factor consistency in partial linear models (Q899549) (← links)
- Multivariate spline analysis for multiplicative models: estimation, testing and application to climate change (Q901277) (← links)
- A Bayesian hybrid huberized support vector machine and its applications in high-dimensional medical data (Q901503) (← links)
- Statistical unfolding of elementary particle spectra: empirical Bayes estimation and bias-corrected uncertainty quantification (Q902940) (← links)
- A unified treatment for non-asymptotic and asymptotic approaches to minimax signal detection (Q906274) (← links)
- Additive risk model for current status data with a cured subgroup (Q907089) (← links)
- Multiway spectral clustering: a margin-based perspective (Q908150) (← links)
- Extrema detection of bivariate spline functions (Q929413) (← links)
- Kernel methods in machine learning (Q930651) (← links)
- Koksma-Hlawka type inequalities of fractional order (Q931323) (← links)
- Multivariate approximation by PDE splines (Q932744) (← links)
- Minimal energy \(C^r\)-surfaces on uniform Powell-Sabin-type meshes for noisy data (Q932747) (← links)
- Multivariate \(L_{\infty}\) approximation in the worst case setting over reproducing kernel Hilbert spaces (Q935068) (← links)
- Derivative reproducing properties for kernel methods in learning theory (Q939547) (← links)
- Kernels, regularization and differential equations (Q941562) (← links)
- An efficient kernel matrix evaluation measure (Q941581) (← links)
- Estimation of the misclassification error for multicategory support vector machine classification (Q943493) (← links)
- Estimating the parametric component of nonlinear partial spline model (Q943603) (← links)
- Meshfree thinning of 3D point clouds (Q945012) (← links)
- Penalized maximum likelihood estimation for a function of the intensity of a Poisson point process (Q946283) (← links)
- Discriminatively regularized least-squares classification (Q955831) (← links)
- Derivatives diagnostics and robustness for smoothing splines (Q956930) (← links)
- Wavelet estimation of partially linear models (Q956986) (← links)
- Sensitivity analysis of constrained linear \(L_1\) regression: perturbations to response and predictor variables (Q957158) (← links)
- An adaptive algorithm for least squares piecewise monotonic data fitting (Q957224) (← links)
- Improved predictions penalizing both slope and curvature in additive models (Q959155) (← links)
- Bayesian curve estimation by model averaging (Q959195) (← links)
- A class of template splines (Q959429) (← links)
- Construction and approximation of surfaces by discrete PDE splines on a polygonal domain (Q960299) (← links)
- Variational Bayesian functional PCA (Q961145) (← links)
