E-bok, Engelska, 2011
Algorithmic Learning Theory
Av Thomas Zeugmann, Esko Ukkonen, Csaba Szepesvari, Jyriki Kivinen
755 kr
Läs direkt i Bokus Reader – eller ladda ned till din enhet (PDF kräver ofta zoom och scroll på små skärmar).
Beskrivning
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.
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.
Produktinformation
- Utgivningsdatum: 2011-10-07
- Språk: Engelska
- Filformat: PDF
- Kopieringsskydd: LCP
- ISBN: 9783642244124
- Förlag: Springer Berlin Heidelberg
Utforska kategorier
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.