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Kernel choice in bivariate kernel density derivative estimates
Kernel estimates belong to the most popular nonparametric method of estimating on a bandwidth, which controls the smoothness of the estimate, and on a kernel, which plays a roleof a weighting function. We focus on a ker...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Meta-Parameters of Kernel Methods and Their Optimization
In this work we deal with the problem of metalearning for kernel based methods. Among the kernel methods we focus on the support vector machine (SVM), that have become a method of choice in a wide range of...
IN - Informatika
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
Comparative study of two kernel smoothing techniques
The kernel functions (kernels) can be used in many types of non-parametric methods - estimation of the density function of a random variable, estimation of the hazard function or the regression function. These methods
BA - Obecná matematika
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Processing of environmental data - comparing of two methods
The kernel functions (kernels) can be used in many types of non-parametric methods - estimation of the density function of a random variable, estimation of the hazard function or the regression function. These methods
BB - Aplikovaná statistika, operační výzkum
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Selection of bandwidth for kernel regression
The most important factor in kernel regression is a choice of a bandwidth. Considerable attention has been paid to extension the idea of an iterative method known for a kernel density estimate to kernel regression....
BA - Obecná matematika
- 2016 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Laser-Induced Kernel Visualisation by OH* Chemiluminescence Method
The aim of this work is a flame front visualisation of kernel evolution using the OH* chemiluminescence method. The ignition kernel is formed in a propane-butane-air gas mixture in position 100 mm above the outlet of the Bu...
Applied mechanics
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Iterative bandwidth method for kernel regression
The aim of the contribution is to extend the idea of an iterative method known for a kernel density estimate to kernel regression. The method is based on a~suitable estimate of the mean integrated square error. Thi...
BA - Obecná matematika
- 2012 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Iterative Method for Bandwidth Selection in Kernel Discriminant Analysis
is focused on the use of kernel estimates with the bandwidth matrix computed by the so-called 'iterative method' in kernel discriminant analysis. Its utility is illustratedKernel estimates belong to very effective...
BB - Aplikovaná statistika, operační výzkum
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
OpenCL Kernel Fusion for GPU, Xeon Phi and CPU
Kernel fusion is an optimization method, in which the code from several kernels is composed to create a new, fused kernel. It can push the performance of kernels beyond a classification of different types ...
IN - Informatika
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Kernel Regression Toolbox for Matlab
The toolbox for the kernel estimation of the regression function in MATLAB (Kernel Regression Toolbox) was created. This toolbox contains many matlab scripts useful for kernel smoothing of regression function, especially se...
BA - Obecná matematika
- 2009 •
- R
Rok uplatnění
R - Software
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