Gaussian Radial and Kernel Networks with Varying and Fixed Widths
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00389193" target="_blank" >RIV/67985807:_____/13:00389193 - 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
Gaussian Radial and Kernel Networks with Varying and Fixed Widths
Original language description
The role of widths of Gaussians in computational models which they generate is investigated. Suitability of Gaussian kernel models with fixed widths for regression is proven in terms of their universal approximation capability. Large sets of argminima oferror functionals minimized during learning from data over Gaussian networks with varying widths are described. Dependence of stabilizers modelling generalization on widths of Gaussian kernels and the input dimension is estimated.
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/GAP202%2F11%2F1368" target="_blank" >GAP202/11/1368: Learning of functional relationships from high-dimensional data</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SOFSEM 2013: Theory and Practice of Computer Science
ISBN
978-80-87136-15-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
95-102
Publisher name
Institute of Computer Science AS CR
Place of publication
Prague
Event location
Špindlerův Mlýn
Event date
Jan 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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