Multivariable Approximation by Convolutional Kernel Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00462912" target="_blank" >RIV/67985807:_____/16:00462912 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1649/118.pdf" target="_blank" >http://ceur-ws.org/Vol-1649/118.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multivariable Approximation by Convolutional Kernel Networks
Original language description
Computational units induced by convolutional kernels together with biologically inspired perceptrons belong to the most widespread types of units used in neurocomputing. Radial convolutional kernels with varying widths form RBF (radial-basis-function) networks and these kernels with fixed widths are used in the SVM (support vector machine) algorithm. We investigate suitability of various convolutional kernel units for function approximation. We show that properties of Fourier transforms of convolutional kernels determine whether sets of input-output functions of networks with kernel units are large enough to be universal approximators. We compare these properties with conditions guaranteeing positive semidefinitness of convolutional kernels.
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
<a href="/en/project/GA15-18108S" target="_blank" >GA15-18108S: Model complexity of neural, radial, and kernel networks</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
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 2016: Information Technologies - Applications and Theory
ISBN
978-1-5370-1674-0
ISSN
1613-0073
e-ISSN
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Number of pages
5
Pages from-to
118-122
Publisher name
Technical University & CreateSpace Independent Publishing Platform
Place of publication
Aachen & Charleston
Event location
Tatranské Matliare
Event date
Sep 15, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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