Algorithmic Learning Theory

ISBN 10: 3642244114 / ISBN 13: 9783642244117

Editore: Springer, 2011

pp. 468. Codice articolo 264529733

Riassunto:

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.

Informazioni sull'autore: Studium der Informatik mit Nebenfach Betriebswirtschaftslehre an der Universität Erlangen-Nürnberg, Promotion in Informatik an der TU München, Wissenschaftler am Europäischen Zentrum für Netzwerkforschung der IBM in Heidelberg im Gebiet Bürokommunikation, sechs Jahre Entwicklungstätigkeit bei der SAP AG in Walldorf im Gebiet Geschäftsprozesstechnologie, ab 2000 Professor für Wirtschaftsinformatik an der Ohm-Hochschule Nürnberg

Dati bibliografici

Titolo: Algorithmic Learning Theory
Casa editrice: Springer
Data di pubblicazione: 2011
Legatura: Brossura
Condizione: New