Algorithmic Learning Theory / Lecture Notes in Computer Science Bd.2842 (PDF)
14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.
The 19 revised full papers presented together with 2 invited papers and abstracts of 3...
The 19 revised full papers presented together with 2 invited papers and abstracts of 3...
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Produktinformationen zu „Algorithmic Learning Theory / Lecture Notes in Computer Science Bd.2842 (PDF)“
This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.
The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.
The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.
Bibliographische Angaben
- 2003, 2003, 320 Seiten, Englisch
- Herausgegeben: Ricard Gavaldà, Klaus P. Jantke, Eiji Takimoto
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540396241
- ISBN-13: 9783540396246
- Erscheinungsdatum: 25.09.2003
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 2.65 MB
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Sprache:
Englisch
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