Algorithmic Learning Theory (eBook, PDF)

22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011, Proceedings
Redaktion: Kivinen, Jyriki; Zeugmann, Thomas; Ukkonen, Esko; Szepesvári, Csaba

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 453
• Erscheinungstermin: 7. Oktober 2011
• Englisch
• ISBN-13: 9783642244124
• Artikelnr.: 43885571