Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011, Proceedings: 6925 (Lecture Notes in Computer Science, 6925)

Jyriki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann

ISBN 10: 3642244114 / ISBN 13: 9783642244117

Published by Springer, 2011

About this Item

Seller Inventory # LU-9783642244117

Bibliographic Details

• Title: Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011, Proceedings: 6925 (Lecture Notes in Computer Science, 6925)
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 3642244114
• ISBN 13: 9783642244117
• Binding: Paperback
• Edition: 2011th.
• Condition: New
• Dimensions: 15.49W x 2.69H x 23.5D centimeters 15.49 centimeters width by 2.69 centimeters height by 23.5 centimeters depth
• Weight: 703 grams

About this title

Synopsis

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.

About the Author

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