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Learning classifier systems : from foundations to applications

Learning classifier systems : from foundations to applications

Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book p...

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Dettagli Bibliografici
Autore principale:	Lanzi, Pier Luca, 1967-
Altri autori:	Stolzmann, Wolfgang, 1966- (Direttore editoriale), Wilson, Stewart W., 1937- (Direttore editoriale)
Natura:	Livre numérique
Lingua:	Anglais
Pubblicazione:	Berlin [etc.] : Springer [20..]. Cham : Springer Nature
Serie:	Lecture notes in computer science. Lecture notes in artificial intelligence 1813
Soggetti:	Informatique Apprentissage automatique Intelligence artificielle Algorithmes génétiques Logique symbolique et mathématique
Accesso online:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Nota:	Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Learning classifier systems, from foundations to applications, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, eds, 2000, New York, Springer, 1 vol. (X-347 p.), Lecture notes in computer science, 3-540-67729-1 • Learning Classifier Systems, Texte imprimé, 9783662172186

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