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Algorithmic Learning Theory

Algorithmic Learning Theory

20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings

by Ricard GavaldaGabor Lugosi Thomas Zeugmann and others
Paperback
Publication Date: 21/09/2009

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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.
ISBN:
9783642044137
9783642044137
Category:
Artificial intelligence
Format:
Paperback
Publication Date:
21-09-2009
Language:
English
Publisher:
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Country of origin:
Germany
Pages:
399
Dimensions (mm):
235x155x23mm
Weight:
0.63kg

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