The following pages link to (Q3996207):
Displaying 50 items.
- Evolutionary machine learning for multi-objective class solutions in medical deformable image registration (Q2004869) (← links)
- A regression-based smoothing spline Monte Carlo algorithm for pricing American options in discrete time (Q2006839) (← links)
- Using recursive algorithms for the efficient identification of smoothing spline ANOVA models (Q2006880) (← links)
- Local linear smoothers using inverse Gaussian regression (Q2010792) (← links)
- Interpolation splines minimizing a semi-norm (Q2017985) (← links)
- Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models (Q2022044) (← links)
- On the search of the shape parameter in radial basis functions using univariate global optimization methods (Q2022236) (← links)
- Monotone smoothing splines with bounds (Q2023064) (← links)
- Stable phaseless sampling and reconstruction of real-valued signals with finite rate of innovation (Q2026544) (← links)
- Compositional splines for representation of density functions (Q2032204) (← links)
- Mixed spline smoothing and kernel estimator in biresponse nonparametric regression (Q2033821) (← links)
- Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition (Q2036304) (← links)
- Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines (Q2037336) (← links)
- Numerical performance of optimized Frolov lattices in tensor product reproducing kernel Sobolev spaces (Q2040459) (← links)
- Convergence of adaptive stochastic collocation with finite elements (Q2047614) (← links)
- Partition of unity methods for signal processing on graphs (Q2048685) (← links)
- Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection (Q2056283) (← links)
- A robust linear mixed-effects model for longitudinal data using an innovative multivariate skew-Huber distribution (Q2057843) (← links)
- Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
- A fast and calibrated computer model emulator: an empirical Bayes approach (Q2058785) (← links)
- From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas (Q2062763) (← links)
- On a reconstruction of a solely time-dependent source in a time-fractional diffusion equation with non-smooth solutions (Q2063162) (← links)
- Modeling interactive components by coordinate kernel polynomial models (Q2063336) (← links)
- Adjusting the energy of ball surfaces by modifying unfixed control balls (Q2066225) (← links)
- Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks (Q2069065) (← links)
- A new RKHS-based global testing for functional linear model (Q2070584) (← links)
- Asymptotic properties of penalized spline estimators in concave extended linear models: rates of convergence (Q2073712) (← links)
- Sparsest piecewise-linear regression of one-dimensional data (Q2074905) (← links)
- Symmetrical and non-symmetrical variants of three-way correspondence analysis for ordered variables (Q2075708) (← links)
- Robustness by reweighting for kernel estimators: an overview (Q2075710) (← links)
- Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space (Q2076148) (← links)
- Measuring timeliness of annual reports filing by jump additive models (Q2078728) (← links)
- An elementary analysis of ridge regression with random design (Q2080945) (← links)
- Varying-coefficient stochastic differential equations with applications in ecology (Q2084436) (← links)
- Functional estimation of anisotropic covariance and autocovariance operators on the sphere (Q2084469) (← links)
- Testing subspace restrictions in the presence of high dimensional nuisance parameters (Q2084475) (← links)
- Construction of transition surfaces with minimal generalized thin-plate spline-surface energies (Q2085005) (← links)
- Safe trajectory tracking for underactuated vehicles with partially unknown dynamics (Q2086008) (← links)
- On the speed of uniform convergence in Mercer's theorem (Q2091033) (← links)
- Bayesian frequentist bounds for machine learning and system identification (Q2097759) (← links)
- A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids (Q2105198) (← links)
- Robust penalized estimators for functional linear regression (Q2111064) (← links)
- Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization (Q2112685) (← links)
- Boundary-consistent B-spline filtering schemes and application to high-fidelity simulations of turbulence (Q2125448) (← links)
- An effective numerical strategy for retrieving all characteristic parameters of an elastic scatterer from its FFP measurements (Q2125451) (← links)
- Closed-form expressions and nonparametric estimation of COVID-19 infection rate (Q2125555) (← links)
- Non-asymptotic error bound for optimal prediction of function-on-function regression by RKHS approach (Q2131156) (← links)
- Solving and learning nonlinear PDEs with Gaussian processes (Q2133484) (← links)
- A functional-data approach to the Argo data (Q2135351) (← links)
- Stabilization of spline bases by extension (Q2135620) (← links)
