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Algorithmic Learning Theory : 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings / / edited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles



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Titolo: Algorithmic Learning Theory : 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings / / edited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (XVII, 395 p. 26 illus. in color.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computers
Data mining
Pattern perception
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
Pattern Recognition
Persona (resp. second.): ChaudhuriKamalika
GENTILECLAUDIO
ZillesSandra
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Inductive inference -- Learning from queries, teaching complexity -- Computational learning theory and algorithms -- Statistical learning theory and sample complexity -- Online learning -- Stochastic optimization -- Kolmogorov complexity, algorithmic information theory.
Sommario/riassunto: This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.
Titolo autorizzato: Algorithmic Learning Theory  Visualizza cluster
ISBN: 3-319-24486-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483982303321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence ; ; 9355