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Více informací o knize Algorithmic Learning Theory

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer programming / software development Algorithms & data structures

• Plný název: Algorithmic Learning Theory
• Podnázev: 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings
• Autor: Ricard Gavald, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 399
• EAN: 9783642044137
• ISBN: 3642044131
• ID: 01650528
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 629 g
• Rozměry: 22 × 155 × 23 mm
• Datum vydání: 18. September 2009

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