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variable selection, feature selection, machine learning, decision rules, classification
SolenSoftware Actavia 3.4 (Journal system)
2019-05-14T01:09:53+02:00
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10.18267/j.aop.131
https://doi.org/10.18267/j.aop.131
Acta Oeconomica Pragensia
Copyright (c) 2008 The author(s). Licensed to the public under Creative Commons Attribution 4.0 International license.
Acta Oeconomica Pragensia 2008, 2008(4):37-55, doi: 10.18267/j.aop.131
Identifying the most Informative Variables for Decision-Making Problems - a Survey of Recent Approaches and Accompanying Problems
variable selection
feature selection
machine learning
decision rules
classification
Pudil Pavel
Somol Petr
https://doi.org/10.18267/j.aop.131
10.18267/j.aop.131
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Acta Oeconomica Pragensia
Copyright (c) 2008 The author(s). Licensed to the public under Creative Commons Attribution 4.0 International license.
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55
37-55
2008-08-01
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https://creativecommons.org/licenses/by/4.0/
This work is licensed to the public under the Creative Commons Attribution 4.0 International license.
https://creativecommons.org/licenses/by/4.0/
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