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Algorithmic Learning Theory Lecture Notes in Artificial Intelligence

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Algorithmic Learning Theory Lecture Notes in Artificial Intelligence Synopsis

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

About This Edition

ISBN: 9783642044137
Publication date:
Author: Ricard Gavaldà, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 399 pages
Series: Lecture Notes in Computer Science
Genres: Artificial intelligence
Expert systems / knowledge-based systems
Natural language and machine translation
Pattern recognition
Data warehousing
Data mining
Information retrieval
Computer programming / software engineering

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