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Record Nr. |
UNISA996465651103316 |
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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 |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
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ISBN |
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Edizione |
[1st ed. 2012.] |
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Descrizione fisica |
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1 online resource (XII, 381 p. 23 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 7568 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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International conference proceedings. |
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Nota di bibliografia |
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Includes bibliographical references and author index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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