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Algorithmic Learning Theory [[electronic resource] ] : 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings / / edited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann



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Titolo: Algorithmic Learning Theory [[electronic resource] ] : 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings / / edited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Edizione: 1st ed. 2012.
Descrizione fisica: 1 online resource (XII, 381 p. 23 illus.)
Disciplina: 005.1
Soggetto topico: Artificial intelligence
Mathematical logic
Algorithms
Computers
Computer logic
Pattern recognition
Artificial Intelligence
Mathematical Logic and Formal Languages
Algorithm Analysis and Problem Complexity
Computation by Abstract Devices
Logics and Meanings of Programs
Pattern Recognition
Persona (resp. second.): BshoutyNader H
StoltzGilles
VayatisNicolas
ZeugmannThomas
Note generali: International conference proceedings.
Nota di bibliografia: Includes bibliographical references and author index.
Nota di contenuto: inductive inference -- teaching and PAC learning -- statistical learning theory and classification -- relations between models and data -- bandit problems, online prediction of individual sequences.- other models of online learning.
Sommario/riassunto: This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.
Titolo autorizzato: Algorithmic Learning Theory  Visualizza cluster
ISBN: 3-642-34106-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465651103316
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Serie: Lecture Notes in Artificial Intelligence ; ; 7568