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Tuning metaheuristics: a machine learning perspective
This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.
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Lenguaje: | eng |
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Springer
2009
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Acceso en línea: | http://cds.cern.ch/record/2727263 |
_version_ | 1780966299733590016 |
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author | Birattari, Mauro Birattari, Mauro |
author_facet | Birattari, Mauro Birattari, Mauro |
author_sort | Birattari, Mauro |
collection | CERN |
description | This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning. |
id | cern-2727263 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2009 |
publisher | Springer |
record_format | invenio |
spelling | cern-27272632021-04-21T18:05:28Zhttp://cds.cern.ch/record/2727263engBirattari, MauroBirattari, MauroTuning metaheuristics: a machine learning perspectiveMathematical Physics and MathematicsThis book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.Springeroai:cds.cern.ch:27272632009 |
spellingShingle | Mathematical Physics and Mathematics Birattari, Mauro Birattari, Mauro Tuning metaheuristics: a machine learning perspective |
title | Tuning metaheuristics: a machine learning perspective |
title_full | Tuning metaheuristics: a machine learning perspective |
title_fullStr | Tuning metaheuristics: a machine learning perspective |
title_full_unstemmed | Tuning metaheuristics: a machine learning perspective |
title_short | Tuning metaheuristics: a machine learning perspective |
title_sort | tuning metaheuristics: a machine learning perspective |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2727263 |
work_keys_str_mv | AT birattarimauro tuningmetaheuristicsamachinelearningperspective AT birattarimauro tuningmetaheuristicsamachinelearningperspective |