An Empirical Study of L2-Boost with Echo State Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F13%3A86088116" target="_blank" >RIV/61989100:27740/13:86088116 - 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
An Empirical Study of L2-Boost with Echo State Networks
Original language description
At the beginning of the 2000s was introduced the Echo State Network model (ESN). The model has been successfully used in temporal learning tasks. In spite of its success in practical applications, the model can present some stability problems when the parameters are not well initialized. The stability of the model is associated with the spectrum of the weight matrix. To compute the spectra is an expensive tasks when the network is large. Below, the initialization of the network parameters can depend ofthe benchmark problem. In this paper, we investigate the performance of the L2-Boost procedure, one specific boosting technique, in time-series problems. We use an ensemble of ESNs which are randomly initialized without control of the spectral radius norm as weak predictors of the L2 procedure. Therefore, the procedure consists only in a random initialization of an ensemble of ESNs following of the L2-Boost steps.We evaluate this procedure on 5 widely used time-series benchmarks. Further
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/EE2.3.30.0055" target="_blank" >EE2.3.30.0055: New creative teams in priorities of scientific research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Proceedings of the 2013 International Conference on Intelligent Systems Design and Applications (ISDA 2013) : Universiti Putra Malaysia, Malaysia, 08-10 December, 2013
ISBN
978-1-4799-3516-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Vienna
Event location
Serdang, Selangor
Event date
Dec 8, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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