A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194236" target="_blank" >RIV/00216208:11320/13:10194236 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/WI-IAT.2012.250" target="_blank" >http://dx.doi.org/10.1109/WI-IAT.2012.250</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WI-IAT.2012.250" target="_blank" >10.1109/WI-IAT.2012.250</a>

Result language
angličtina
Original language name
A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results
Original language description
We present a description of our multi-agent system where computational intelligence methods are embodied as software agents. This system is designed in order to allow easy experiments with learning, meta learning, gathering experience based on previous computations, and recommending suitable methods for particular data. The architecture of the system is presented and its meta learning abilities are demonstrated on a set of experiments with neural network models and both evolutionary and local search heuristics.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, vol. 2
ISBN
978-1-4673-6057-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
170-174
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, USA
Event location
Macau
Event date
Dec 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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