The following pages link to (Q3996207):
Displaying 50 items.
- Limitations of the \(L\)-curve method in ill-posed problems (Q1914868) (← links)
- Identification of nonlinear systems using empirical data and prior knowledge -- An optimization approach (Q1914996) (← links)
- Biometrics, biomathematics and the morphometric synthesis (Q1915183) (← links)
- Improved inference in nonparametric regression using \(L_ k\)-smoothing splines (Q1918134) (← links)
- Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture) (Q1922369) (← links)
- Locally lattice sampling designs for isotropic random fields (Q1922376) (← links)
- REML estimation: Asymptotic behavior and related topics (Q1922406) (← links)
- Linear unlearning for cross-validation (Q1923892) (← links)
- Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy (Q1927050) (← links)
- Applications of Haar basis method for solving some ill-posed inverse problems (Q1930469) (← links)
- Spectral approach for kernel-based interpolation (Q1931807) (← links)
- Argumentwise invariant kernels for the approximation of invariant functions (Q1931809) (← links)
- Block based deconvolution algorithm using spline wavelet packets (Q1932810) (← links)
- A novel kernel correlation model with the correspondence estimation (Q1932822) (← links)
- A meta-learning approach to the regularized learning -- case study: blood glucose prediction (Q1941597) (← links)
- The regularized least squares algorithm and the problem of learning halfspaces (Q1944907) (← links)
- Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis (Q1945126) (← links)
- Dynamic programming and value-function approximation in sequential decision problems: error analysis and numerical results (Q1949593) (← links)
- Primal and dual model representations in kernel-based learning (Q1950324) (← links)
- Structured penalties for functional linear models -- partially empirical eigenvectors for regression (Q1950819) (← links)
- The theory and application of penalized methods or reproducing kernel Hilbert spaces made easy (Q1951653) (← links)
- Parameter estimation of ODE's via nonparametric estimators (Q1951798) (← links)
- Explicit connections between longitudinal data analysis and kernel machines (Q1952003) (← links)
- Semiparametric regression during 2003--2007 (Q1952023) (← links)
- Kernel regression uniform rate estimation for censored data under \(\alpha\)-mixing condition (Q1952045) (← links)
- Self-concordant analysis for logistic regression (Q1952060) (← links)
- Convergence rate and Bahadur type representation of general smoothing spline M-estimates (Q1952109) (← links)
- On the asymptotics of penalized spline smoothing (Q1952168) (← links)
- Penalized wavelets: embedding wavelets into semiparametric regression (Q1952243) (← links)
- Testing the structural stability of temporally dependent functional observations and application to climate projections (Q1952249) (← links)
- Reproducing kernels of Sobolev spaces via a Green kernel approach with differential operators and boundary operators (Q1955529) (← links)
- Conditional quantiles with varying Gaussians (Q1955538) (← links)
- Adaptive kernel methods using the balancing principle (Q1959089) (← links)
- Goodness-of-fit statistics, discrepancies and robust designs (Q1962164) (← links)
- On the variance of quadrature over scrambled nets and sequences (Q1962204) (← links)
- Time series analysis and prediction on complex dynamical behavior observed in a blast furnace (Q1964026) (← links)
- Spline approximation of random processes and design problems (Q1970846) (← links)
- Fourier frequency adaptive regularization for smoothing data (Q1971814) (← links)
- A parallel solver for generalised additive models (Q1978411) (← links)
- COBS: qualitatively constrained smoothing via linear programming (Q1979097) (← links)
- Randomized sketches for kernel CCA (Q1982398) (← links)
- A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging (Q1986101) (← links)
- Inference of the bottom topography in anisothermal mildly-sheared shallow ice flows (Q1987945) (← links)
- Assessing robustness of classification using an angular breakdown point (Q1990584) (← links)
- Adaptive spline fitting with particle swarm optimization (Q1995828) (← links)
- Inverse gravimetry: background material and multiscale mollifier approaches (Q2000750) (← links)
- Estimation and spatial interpolation of rainfall intensity distribution from the effective rate of precipitation (Q2002003) (← links)
- Fractional Hermite interpolation using RBFs in high dimensions over irregular domains with application (Q2002315) (← links)
- Phaseless sampling and reconstruction of real-valued signals in shift-invariant spaces (Q2003593) (← links)
- Convergence rates for Fourier partial sums of polygons and periodic splines (Q2003618) (← links)