Pages that link to "Item:Q2433154"
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The following pages link to Approximation methods for supervised learning (Q2433154):
Displaying 50 items.
- Some approaches to the solution of optimization problems in supervised learning (Q267571) (← links)
- Generalization bounds of ERM algorithm with Markov chain samples (Q403479) (← links)
- Optimal exponential bounds on the accuracy of classification (Q485316) (← links)
- On adaptive estimators in statistical learning theory (Q666555) (← links)
- Optimal rates for regularization of statistical inverse learning problems (Q667648) (← links)
- Wavelet optimal estimations for a two-dimensional continuous-discrete density function over \(L^p\) risk (Q824831) (← links)
- Upper bounds for errors of estimators in a problem of nonparametric regression: the adaptive case and the case of unknown measure \(\rho _X\) (Q845198) (← links)
- On regularization algorithms in learning theory (Q870339) (← links)
- An extension of Chesneau's theorem (Q893444) (← links)
- Learning a function from noisy samples at a finite sparse set of points (Q1048968) (← links)
- Approximation and learning of convex superpositions (Q1370865) (← links)
- On the accuracy of approximate studentization (Q1381206) (← links)
- Performances in supervised learning (Q1577073) (← links)
- Nonparametric regression using needlet kernels for spherical data (Q1633627) (← links)
- Supersmooth density estimations over \(L^p\) risk by wavelets (Q1703887) (← links)
- Semi-supervised learning based on high density region estimation (Q1784700) (← links)
- Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model (Q1951121) (← links)
- Stein block thresholding for wavelet-based image deconvolution (Q1952061) (← links)
- Adaptive kernel methods using the balancing principle (Q1959089) (← links)
- Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces (Q2000503) (← links)
- Wavelet optimal estimations for density functions under severely ill-posed noises (Q2015274) (← links)
- Adaptive wavelet estimations for the derivative of a density in GARCH-type model (Q2067833) (← links)
- Data-driven discovery of emergent behaviors in collective dynamics (Q2127368) (← links)
- Sampling discretization and related problems (Q2136857) (← links)
- Exact asymptotic orders of various randomized widths on Besov classes (Q2191831) (← links)
- Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems (Q2192321) (← links)
- Almost optimal estimates for approximation and learning by radial basis function networks (Q2251472) (← links)
- Sampling discretization error of integral norms for function classes (Q2274411) (← links)
- Balancing principle in supervised learning for a general regularization scheme (Q2278452) (← links)
- Probabilistic error bounds on constraint violation for empirical-analytical Lagrangian models of motion (Q2296864) (← links)
- On universal estimators in learning theory (Q2342272) (← links)
- Point-wise estimation for anisotropic densities (Q2418508) (← links)
- Wavelet optimal estimations for a density with some additive noises (Q2450939) (← links)
- Local entropy in learning theory (Q2460502) (← links)
- The application of an oblique-projected Landweber method to a model of supervised learning (Q2473156) (← links)
- Universal algorithms for learning theory. II: Piecewise polynomial functions (Q2642917) (← links)
- Distribution-free learning theory for approximating submanifolds from reptile motion capture data (Q2666100) (← links)
- Wavelet optimal estimations for a multivariate probability density function under weighted distribution (Q2688985) (← links)
- Kernel regression, minimax rates and effective dimensionality: Beyond the regular case (Q3298576) (← links)
- Spectral Algorithms for Supervised Learning (Q3510946) (← links)
- (Q4637042) (← links)
- (Q4762639) (← links)
- Non Asymptotic Minimax Estimation of Functionals with Noisy Observations (Q4905881) (← links)
- (Q4998909) (← links)
- Inducing Super-Approximation (Q5021194) (← links)
- The optimal wavelet estimation for biased density (Q5057348) (← links)
- Wavelet estimations for heteroscedastic super smooth errors (Q5078118) (← links)
- Optimal wavelet estimators of the heteroscedastic pointspread effects and Gauss white noises model (Q5079846) (← links)
- Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)
- (Q5346659) (← links)
