Zobrazeno 1 - 4
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pro vyhledávání: '"Alexander R. M. Wagner"'
Autor:
Alexander R. M. Wagner, Anthony Stein
Publikováno v:
SN Computer Science. 3
In the field of rule-based approaches to Machine Learning, the XCS classifier system (XCS) is a well-known representative of the learning classifier systems family. By using a genetic algorithm (GA), the XCS aims at forming rules or so-called classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f69edbd6d10f81cb5f258b5f2da6ba9
https://doi.org/10.1007/s42979-022-01060-w
https://doi.org/10.1007/s42979-022-01060-w
Publikováno v:
GECCO Companion
The International Workshop on Learning Classifier Systems (IWLCS) is an annual workshop at the GECCO conference where new concepts and results regarding learning classifier systems (LCSs) are presented and discussed. One recurring part of the worksho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c8485bdb393a2fee40399e4506fa99e
https://doi.org/10.1145/3449726.3463173
https://doi.org/10.1145/3449726.3463173
Autor:
Anthony Stein, Alexander R. M. Wagner
Publikováno v:
GECCO Companion
In this work, two variants of lexicase selection are examined for their performance improvement potential in the context of XCS variants allowing for continuous-valued inputs. We furthermore propose a niche-specific mode of operation for lexicase sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2816a64428099a464e70cc8b8d0d4004
https://doi.org/10.1145/3449726.3459533
https://doi.org/10.1145/3449726.3459533
Autor:
Anthony Stein, Alexander R. M. Wagner
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783030726980
EvoApplications
EvoApplications
The rule-based XCS Classifier System (XCS) aims at forming classifiers which are as general as possible to achieve an optimal performance level. A too high generalization pressure may lead to over-general classifiers degrading the performance of XCS.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e88a0a0253b8e1e6809dfa0961a0fcc
https://doi.org/10.1007/978-3-030-72699-7_44
https://doi.org/10.1007/978-3-030-72699-7_44
