Algorithmic Learning Theory / Lecture Notes in Computer Science Bd.5809 (PDF)
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS...
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This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009.
The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions. The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning. The volume also contains abstracts of the
invited talks: Sanjoy Dasgupta, The Two Faces of Active Learning; Hector Geffner, Inference and
Learning in Planning; Jiawei Han, Mining Heterogeneous; Information Networks By Exploring the Power of Links, Yishay Mansour, Learning and Domain Adaptation; Fernando C.N. Pereira, Learning on the Web.
- 2009, 2009, 399 Seiten, Englisch
- Herausgegeben: Ricard Gavaldà, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles
- Verlag: Springer-Verlag GmbH
- ISBN-10: 364204414X
- ISBN-13: 9783642044144
- Erscheinungsdatum: 29.09.2009
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 7.08 MB
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