A novel meta learning system and its application to optimization of computing agents? results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00384755" target="_blank" >RIV/67985807:_____/12:00384755 - 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
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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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/OC10047" target="_blank" >OC10047: Analysis of Intelligent Computational Distributed Systems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 2012 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology
ISBN
978-0-7695-4880-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
170-174
Publisher name
IEEE
Place of publication
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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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