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171 151 (0,283s)

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Gaussian process based recursive system identification

using nonparametric Gaussian process model. Non-linear stochastic system Gaussian process algorithm for non-linear system identification is proposed to alleviate the computational burden of full Gaussian ...

BC - Teorie a systémy řízení

  • 2014
  • D
  • Link
Result

Application of log Gaussian Cox processes in disease mapping

The risk map of a tick-borne disease is evaluated using the model of log-Gaussian Cox point process for cases.

BB - Aplikovaná statistika, operační výzkum

  • 2003
  • D
Result

Use of Gaussian Process Regression in Processing Scientific Data

We present the method of Gaussian Process Regression (GPR) and discuss the issues of training and prediction and their efficient realization. Further, we consider the application of GPR in design optimization and modeling experiment...

JU - Aeronautika, aerodynamika, letadla

  • 2009
  • D
Result

Functional Dual Adaptive Control with Recursive Gaussian Process Model

uncertainties in the system description are modelled by a non-parametric Gaussian process regression model. Current approaches to adaptive control based on Gaussian process models propose the use of recursive ...

Automation and control systems

  • 2015
  • D
  • Link
Result

Experimental Quantum Non-Gaussian Coincidences of Entangled Photons

parametric processes by reducing crucial multiphoton errors. For the quantum non-GaussianQuantum non-Gaussianity, a more potent and highly useful form of nonclassicality, excludes all convex mixtures of Gaussian s...

Optics (including laser optics and quantum optics)

  • 2024
  • Jimp
  • Link
Result

Minimal distance estimates for Gaussian processes.

Original scientific paper dealing with Minimal distance estimates for Gaussian processes.

BA - Obecná matematika

  • 1998
  • D
Result

Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy

In this paper, Gaussian processes are studied in connection with the state-of-the-art method for continuous black-box optimization CMA-ES. To combine them transformations suggests ordinal regression, whereas Gaussian pr...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Shot noise, weak convergence and diffusion approximations

. Among others, we obtain the OU-Gamma and OU-Inverse Gaussian processes, having gamma and inverse gaussian processes as background Lévy processes, respectively. Then, we derive the necessary conditions gu...

Applied mathematics

  • 2021
  • Jimp
  • Link
Result

On the Use of Gradient Information in Gaussian Process Quadratures

Gaussian process quadrature is a promising alternative Bayesian approach to numerical integration, which offers attractive advantages over its well-known classical counterparts. We show how Gaussian process quadrat...

Automation and control systems

  • 2016
  • D
  • Link
Result

The non-Gaussian signals' spectra estimation against a background of Gaussian correlated interference

The higher orders spectra analysis for non-Gaussian process spectrum estimation in the mix with Gaussian correlated interference are studied in the paper. The received expressions for parametric spectral estimation of highe...

BB - Aplikovaná statistika, operační výzkum

  • 2015
  • D
  • Link
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