Sum and Product Kernel Regularization Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F06%3A00339949" target="_blank" >RIV/67985807:_____/06:00339949 - 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
Sum and Product Kernel Regularization Networks
Original language description
We study the problem of learning from examples by means of function approximation theory. Based on Aronszajn's formulation of sum of kernels and product of kernels, we derive new approximation schemas -- Sum Kernel Regularization Network and Product Kernel Regularization Network. We demonstrate their performance on experiments. For many tasks our schemas outperform the classical solutions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence and Soft Computing ? ICAISC 2006
ISBN
3-540-35748-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Zakopane
Event date
Jun 25, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000239600000007