Knowledge Engineering, Machine Learning and Lattice Computing with Applications : 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers

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 su...

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Bibliografski detalji
Glavni autor: Grana, Manuel
Daljnji autori: Toro, Carlos (Voditelj izdanja), Howlett, Robert J. (Voditelj izdanja), Jain, Lakhmi C., 1946- (Voditelj izdanja)
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Izdanje:1st ed. 2013.
Serija:Lecture Notes in Artificial Intelligence 7828
Online pristup:Accès sur la plateforme de l'éditeur (Springer)
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Bilješka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Knowledge Engineering, Machine Learning and Lattice Computing with Applications, Texte imprimé, 9783642373428
• Knowledge Engineering, Machine Learning and Lattice Computing with Applications, Texte imprimé, 9783642373442
Opis
Sažetak: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
Opis djela:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642373435
ISSN:2945-9141
Pristup:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017