Trustworthy Eternal Systems via Evolving Software, Data and Knowledge [electronic resource] : Second International Workshop, EternalS 2012, Montpellier, France, August 28, 2012, Revised Selected Papers / edited by Alessandro Moschitti, Barbara Plank.
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TextSeries: Communications in Computer and Information SciencePublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: X, 149 p. 36 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642452604Subject(s): Computer Science | Software engineering | Information storage and retrieval systems | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Software Engineering | Information Storage and Retrieval | Information Systems Applications (incl. Internet)DDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the thoroughly refereed proceedings of the Second International Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, EternalS, held in Montpellier, France, in August 2012 and co-located with the 20th European Conference on Artificial Intelligence (ECAI 2012). The 10 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized into three main sections: natural language processing (NLP) for software systems, machine learning for software systems, roadmap for future research.
This book constitutes the thoroughly refereed proceedings of the Second International Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, EternalS, held in Montpellier, France, in August 2012 and co-located with the 20th European Conference on Artificial Intelligence (ECAI 2012). The 10 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized into three main sections: natural language processing (NLP) for software systems, machine learning for software systems, roadmap for future research.
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