bokomslag Algorithmic Learning Theory
Data & IT

Algorithmic Learning Theory

Marcus Hutter Rocco A Servedio Eiji Takimoto

Pocket

739:-

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

Uppskattad leveranstid 7-11 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 406 sidor
  • 2007
This volume contains the papers presented at the 18th International Conf- ence on Algorithmic Learning Theory (ALT 2007), which was held in Sendai (Japan) during October 14, 2007. The main objective of the conference was to provide an interdisciplinary forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, complexity and learning, reinforcement learning, - supervised learning and grammatical inference. The conference was co-located with the Tenth International Conference on Discovery Science (DS 2007). This volume includes 25 technical contributions that were selected from 50 submissions by the ProgramCommittee. It also contains descriptions of the ?ve invited talks of ALT and DS; longer versions of the DS papers are available in the proceedings of DS 2007. These invited talks were presented to the audience of both conferences in joint sessions.
  • Författare: Marcus Hutter, Rocco A Servedio, Eiji Takimoto
  • Format: Pocket/Paperback
  • ISBN: 9783540752240
  • Språk: Engelska
  • Antal sidor: 406
  • Utgivningsdatum: 2007-09-01
  • Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K