Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10127163" target="_blank" >RIV/00216208:11320/12:10127163 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/12:00384944
Result on the web
<a href="http://dx.doi.org/10.1109/ICMLA.2012.137" target="_blank" >http://dx.doi.org/10.1109/ICMLA.2012.137</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICMLA.2012.137" target="_blank" >10.1109/ICMLA.2012.137</a>
Alternative languages
Result language
angličtina
Original language name
Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation
Original language description
The goal of our data-mining multi-agent system is to facilitate data-mining experiments without the necessary knowledge of the most suitable machine learning method and its parameters to the data. In order to replace the expert's knowledge, the meta-learning subsystems are proposed including the parameter-space search and method recommendation based on previous experiments. In this paper we show the results of the parameter-space search with several search algorithms - tabulation, random search, simmulated annealing, and genetic algorithm.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
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>S - Specificky vyzkum na vysokych skolach
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
11th International Conference on Machine Learning and Applications (ICMLA)
ISBN
978-1-4673-4651-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
36-41
Publisher name
IEEE Computer Society
Place of publication
Neuveden
Event location
Boca Raton, Florida, USA
Event date
Dec 12, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—