Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F15%3A00447915" target="_blank" >RIV/67985807:_____/15:00447915 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparing Non-Linear Regression Methods on Black-Box Optimization Benchmarks
Original language description
The paper compares several non-linear regression methods on synthetic data sets generated using standard benchmarks for continuous black-box optimization. For that comparison, we have chosen regression methods that have been used as surrogate models in such optimization: radial basis function networks, Gaussian processes, and random forests. Because the purpose of black-box optimization is frequently some kind of design of experiments, and because a role similar to surrogate models is in the traditionaldesign of experiments played by response surface models, we also include standard response surface models, i.e., polynomial regression. The methods are evaluated based on their mean-squared error and on the Kendall?s rank correlation coefficient betweenthe ordering of function values according to the model and according to the function used to generate the data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings ITAT 2015: Information Technologies - Applications and Theory
ISBN
978-1-5151-2065-0
ISSN
1613-0073
e-ISSN
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Number of pages
8
Pages from-to
135-142
Publisher name
Technical University & CreateSpace Independent Publishing Platform
Place of publication
Aachen & Charleston
Event location
Slovenský Raj
Event date
Sep 17, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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