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Remarks to optimum kernels and boundary optimum kernels
Kernel smoothers belong to the most popular nonparametric functional estimates regression model as well as on the random design regression model. In the context of kernel estimatesof a regression function, the choi...
BB - Aplikovaná statistika, operační výzkum
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Some Comparisons of Radial and Kernel Computational Models
Mathematical properties of two types of computational models popular in neurocomputing, radial-basis function networks (RBF) and kernel models, are compared. Both complexity. On the other hand, kernel models
IN - Informatika
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Some Comparisons of Networks with Radial and Kernel Units
Two types of computational models, radial-basis function networks with units having varying widths and kernel networks where all units have a fixed width, are investigated in the framework of scaled kernels. The impact of w...
IN - Informatika
- 2012 •
- D
Rok uplatnění
D - Stať ve sborníku
Kernel Networks with Fixed and Variable Widths
The role of width in kernel models and radial-basis function networks is investigated with a special emphasis on the Gaussian case. Quantitative bounds are given on kernel-based regularization showing the effect of changing...
IN - Informatika
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Optimum kernels.
Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. Kernel smoothing can be very well applied on the regression model. In the context of
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
MULTIVARIATE NONPARAMETRIC KERNEL ESTIMATION
This paper is focused on multivariate estimation of density and distribution function by nonparametric kernel approach. The main goal is to describe univariate and multivariate nonparametric kernel estimation using selected kern...
Applied mathematics
- 2020 •
- D
Rok uplatnění
D - Stať ve sborníku
Application of kernel smoothing to additive models
N/A...
BA - Obecná matematika
- 1997 •
- D
Rok uplatnění
D - Stať ve sborníku
Gaussian Radial and Kernel Networks with Varying and Fixed Widths
The role of widths of Gaussians in computational models which they generate is investigated. Suitability of Gaussian kernel models with fixed widths for regression with varying widths are described. Dependence of stabilizer...
IN - Informatika
- 2013 •
- D
Rok uplatnění
D - Stať ve sborníku
Approximate Minimization of the Regularized Expected Error over Kernel Models
Learning from data under constraints on model complexity is studied in terms of rates of approximate minimization of the regularized expected error functional. For kernel models with an increasing number n of kernel
BA - Obecná matematika
- 2008 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Survival data: Kernel Estimates and Dynamical Models
The purpose of this contribution is to present both nonparametric and deterministic modeling of survival data.
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
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