Knowledge Engineering, Machine Learning and Lattice Computing with Applications [electronic resource] : 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers / edited by Manuel Gra�na, Carlos Toro, Robert J. Howlett, Lakhmi C. Jain.
Contributor(s): Gra�na, Manuel [editor.] | Toro, Carlos [editor.] | Howlett, Robert J [editor.] | Jain, Lakhmi C [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 7828Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: VIII, 207 p. 68 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642373435.Subject(s): Computer science | Data mining | Information storage and retrieval | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl. Internet) | Data Mining and Knowledge Discovery | Information Storage and RetrievalAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 20 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning applications, semantics and ontology based techniques, and lattice computing and games.
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This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 20 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning applications, semantics and ontology based techniques, and lattice computing and games.
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