Algorithmic Learning Theory [electronic resource] :22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings / edited by Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann.
by Kivinen, Jyrki [editor.]; Szepesvári, Csaba [editor.]; Ukkonen, Esko [editor.]; Zeugmann, Thomas [editor.]; SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6925Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.Description: XIII, 453 p. online resource.ISBN: 9783642244124.Subject(s): Computer science | Computer software | Logic design | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Mathematical Logic and Formal Languages | Algorithm Analysis and Problem Complexity | Computation by Abstract Devices | Logics and Meanings of Programs | Information Systems Applications (incl. Internet)DDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: 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.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TJ210.2-211.495 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | Q334-342 (Browse shelf) | Available |
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.
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