Multi-objective evolution of machine learning workflows
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10370159" target="_blank" >RIV/00216208:11320/17:10370159 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/17:00490833
Result on the web
<a href="http://dx.doi.org/10.1109/SSCI.2017.8285357" target="_blank" >http://dx.doi.org/10.1109/SSCI.2017.8285357</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI.2017.8285357" target="_blank" >10.1109/SSCI.2017.8285357</a>
Alternative languages
Result language
angličtina
Original language name
Multi-objective evolution of machine learning workflows
Original language description
In this paper we describe a multi-objective genetic programming algorithm which can be used to create complete machine learning workflows. The algorithm is an extension of a single-objective one. In a series of test on four datasets, we show that the additional objectives can be used to search for smaller or faster models. The algorithm is also in some cases much faster than the single-objective one while obtaining results of similar quality.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 IEEE Symposium Series on Computational Intelligence (SSCI)
ISBN
978-1-5386-2726-6
ISSN
—
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
Neuveden
Event location
Honolulu, HI, USA
Event date
Nov 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428251402074