The following pages link to Adam Krzyżak (Q383852):
Displaying 50 items.
- Discretization of quaternionic continuous wavelet transforms (Q2628377) (← links)
- On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data (Q2692553) (← links)
- On almost sure convergence and rates of radial bases function networks classifiers (Q2718372) (← links)
- On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions (Q2814132) (← links)
- Empirical Comparison of Nonparametric Regression Estimates on Real Data (Q2820999) (← links)
- Adaptive Density Estimation from Data Containing Bounded Measurement Errors (Q2833360) (← links)
- Why \(L_1\) view and what is next? (Q2892528) (← links)
- Nonparametric Quantile Estimation Based on Surrogate Models (Q2976580) (← links)
- Adaptive Density Estimation From Data With Small Measurement Errors (Q2977443) (← links)
- Classification procedures using multivariate variable kernel density estimate (Q3036505) (← links)
- Non-parametric identification of dynamic non-linear systems by a Hermite Series Approach (Q3152488) (← links)
- Coherent states and Hermite polynomials on quaternionic Hilbert spaces (Q3161097) (← links)
- On estimation of a class of nonlinear systems by the kernel regression estimate (Q3200392) (← links)
- Non-parametric identification of a memoryless system with a cascade structure (Q3206737) (← links)
- Distribution-free consistency of a nonparametric kernel regression estimate and classification (Q3317902) (← links)
- Almost everywhere convergence of a recursive regression function estimate and classification (Corresp.) (Q3317903) (← links)
- (Q3319620) (← links)
- (Q3352302) (← links)
- Adaptive regression estimation with multilayer feedforward neural networks (Q3369526) (← links)
- Nonparametric Regression Estimation by Normalized Radial Basis Function Networks (Q3547186) (← links)
- Postfiltering versus prefiltering for signal recovery from noisy samples (Q3547484) (← links)
- On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition (Q3548228) (← links)
- PRICING OF HIGH-DIMENSIONAL AMERICAN OPTIONS BY NEURAL NETWORKS (Q3576955) (← links)
- (Q3954665) (← links)
- (Q3959967) (← links)
- On exponential bounds on the Bayes risk of the kernel classification rule (Q3981579) (← links)
- Global convergence of the recursive kernel regression estimates with applications in classification and nonlinear system estimation (Q4014147) (← links)
- (Q4031330) (← links)
- Identification of discrete Hammerstein systems by the Fourier series regression estimate (Q4206679) (← links)
- (Q4329149) (← links)
- On asymptotic properties of radial basis regression function estimates and classification rules (Q4390671) (← links)
- (Q4436424) (← links)
- Nonparametric regression estimation using penalized least squares (Q4544753) (← links)
- Adaptive Estimation of Quantiles in a Simulation Model (Q4566648) (← links)
- Estimation of a Density From an Imperfect Simulation Model (Q4629913) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666363) (← links)
- Uncertainty Quantification in Case of Imperfect Models: A Non‐Bayesian Approach (Q4685451) (← links)
- Identification of non-linear systems by recursive kernel regression estimates (Q4696411) (← links)
- The rates of convergence of kernel regression estimates and classification rules (Q4721404) (← links)
- (Q4780349) (← links)
- (Q4780350) (← links)
- (Q4808581) (← links)
- (Q4949781) (← links)
- Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM (Q5052916) (← links)
- An FFT-based visual quality metric robust to spatial shift (Q5063234) (← links)
- Noise reduction of shot-noise-dominated hyperspectral imagery by combining PCA with existing denoising methods (Q5063239) (← links)
- Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification (Q5077555) (← links)
- Estimation of a Function of Low Local Dimensionality by Deep Neural Networks (Q5088528) (← links)
- Upper bounds for Bermudan options on Markovian data using nonparametric regression and a reduced number of nested Monte Carlo steps (Q5191261) (← links)
- Adaptive density estimation based on real and artificial data (Q5256275) (← links)
