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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 e...
JU - Aeronautika, aerodynamika, letadla
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy
transformations suggests ordinal regression, whereas Gaussian process continuity suggests metric regression. Results of testing ordinal and metric Gaussian process regressionIn this pape...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
OctGPR package for Octave-Forge
The OctGPR package is part of the open source project OctaveForge. It is an installable package for the Octave environment, providing functions for nonparametric regression and error prediction using the method of Gaussian Proce...
JC - Počítačový hardware a software
- 2008 •
- X
Rok uplatnění
X - Nezařazeno
Data-driven kinetic energy density fitting for orbital-free DFT: Linear vs Gaussian process regression
and Gaussian process regressions of KEDs for light metals and a semiconductor. We find-volume dependence with linear regressions but substantially improves it with Gaussian process regression...
Physical chemistry
- 2020 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
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 recur...
Automation and control systems
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Testing Gaussian Process Surrogates on CEC’2013 Multi-Modal Benchmark
on Gaussian processes, but on ordinary regression by means of support vector machines hasThis paper compares several Gaussian-processbased surrogate modeling methods applied to black-box optimization by means of t...
IN - Informatika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Dependencies in Stochastic Geometry - A Simulation Study
The background of sliced inverse regression with applications in stochastic models dependent on a multidimensional Gaussian random field is presented process withintensity being a function of the random field. Then the poin...
BA - Obecná matematika
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Gaussian process regression ́s hyperparameters optimization to predict financial distress
Predicting financial distress has become one of the most important topics of the hour that has swept the accounting and financial field due to its significant correlation with the development of science and technology. The main objective of this pape...
Economics and Business
- 2023 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization
This paper introduces two surrogate models for continous black-box optimization, Gaussian processes and random forests, as an alternative to the already used ordinal SVM regression. We employ the CMA-ES as the reference opt...
IN - Informatika
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Bayesian transfer learning between Gaussian process regression tasks
and target tasks are to perform Gaussian process regression. Experimental evaluation...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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