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Self-Evolvable Systems: Machine Learning in Social Media
This monograph presents key method to successfully manage the growing complexity of systems where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evol...
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Lenguaje: | eng |
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Springer
2012
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-28882-1 http://cds.cern.ch/record/1481631 |
_version_ | 1780925971713490944 |
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author | Iordache, Octavian |
author_facet | Iordache, Octavian |
author_sort | Iordache, Octavian |
collection | CERN |
description | This monograph presents key method to successfully manage the growing complexity of systems where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated. |
id | cern-1481631 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | Springer |
record_format | invenio |
spelling | cern-14816312021-04-22T00:20:19Zdoi:10.1007/978-3-642-28882-1http://cds.cern.ch/record/1481631engIordache, OctavianSelf-Evolvable Systems: Machine Learning in Social MediaCommerce, Economics, Social ScienceThis monograph presents key method to successfully manage the growing complexity of systems where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated.Springeroai:cds.cern.ch:14816312012 |
spellingShingle | Commerce, Economics, Social Science Iordache, Octavian Self-Evolvable Systems: Machine Learning in Social Media |
title | Self-Evolvable Systems: Machine Learning in Social Media |
title_full | Self-Evolvable Systems: Machine Learning in Social Media |
title_fullStr | Self-Evolvable Systems: Machine Learning in Social Media |
title_full_unstemmed | Self-Evolvable Systems: Machine Learning in Social Media |
title_short | Self-Evolvable Systems: Machine Learning in Social Media |
title_sort | self-evolvable systems: machine learning in social media |
topic | Commerce, Economics, Social Science |
url | https://dx.doi.org/10.1007/978-3-642-28882-1 http://cds.cern.ch/record/1481631 |
work_keys_str_mv | AT iordacheoctavian selfevolvablesystemsmachinelearninginsocialmedia |