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Convergence rates of kernel density estimates in particle filtering
Bounds on convergence rates of kernel density estimates in particle filtering are specified. The kernel density estimates are shown to be efficient for the Sobolev class of filtering densities. The upper bounds are...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- Jimp •
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Jimp - Článek v periodiku v databázi Web of Science
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Convergence rates of kernel density estimates in particle filtering
Bounds on convergence rates of kernel density estimates in particle filtering are specified. The kernel density estimates are shown to be efficient for the Sobolev class of filtering densities. The upper bounds are...
Statistics and probability
- 2019 •
- Jimp •
- Link
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Jimp - Článek v periodiku v databázi Web of Science
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Markov kernels and tribes
We define an ordering on the set of bounded Markov kernels associated kernels is a Dedekind sigma-complete lattice. In addition, we define a sum of bounded Markov kernels such that the set of bounded
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- Jimp •
- Link
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Jimp - Článek v periodiku v databázi Web of Science
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Kernel choice with respect to the bandwidth in kernel density estimates
We focus on the kernel function choice, especially on kernels with a bounded support. Our aim is to study the optimality of the kernel with respect to the bandwidth choice. A simulation study brings comparison of t...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Independent sets near the lower bound in bounded degree graphs
of graphs with independence number close to this bound, and use it to show/Delta+k has a kernel of size O(k).
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
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D - Stať ve sborníku
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Kernelization Using Structural Parameters on Sparse Graph Classes
for linear kernels on graphs of bounded genus, H-minor-free graphs, and H-topological for kernels for any of the larger sparse graph classes: graphs of bounded expansion, locally bounded expansion, and no...
IN - Informatika
- 2013 •
- D •
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D - Stať ve sborníku
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Kernel choice in bivariate kernel density derivative estimates
, especially kernels with bounded supports, with respect to the bandwidth choice.Kernel estimates belong to the most popular nonparametric method of estimating on a bandwidth, which controls the smoothness of the estimate, ...
BB - Aplikovaná statistika, operační výzkum
- 2011 •
- D •
- Link
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D - Stať ve sborníku
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Tikhonov regularization parameter in reproducing kernel Hilbert Spaces with respect to the sensitivity of the solution
In our paper, we consider Tikhonov regularization in the reproducing Kernel Hilbert Spaces. In this space we derive upper and lower bound of the interval which contains the optimal value of Tikhonov regularization parameter...
BB - Aplikovaná statistika, operační výzkum
- 2008 •
- D
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D - Stať ve sborníku
Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks
Approximation of solutions of integral equations by networks with kernel units is investigated theoretically. There are derived upper bounds on speed of decrease of errors in approximation of solutions of Fredholm integral equations...
IN - Informatika
- 2011 •
- D •
- Link
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D - Stať ve sborníku
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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
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D - Stať ve sborníku
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