bokomslag Algorithmic Learning Theory
Data & IT

Algorithmic Learning Theory

Jyriki Kivinen Csaba Szepesvri Esko Ukkonen Thomas Zeugmann

Pocket

759:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 7-12 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 453 sidor
  • 2011
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.
  • Författare: Jyriki Kivinen, Csaba Szepesvri, Esko Ukkonen, Thomas Zeugmann
  • Format: Pocket/Paperback
  • ISBN: 9783642244117
  • Språk: Engelska
  • Antal sidor: 453
  • Utgivningsdatum: 2011-09-23
  • Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K