Algorithmic Learning Theory 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Hutter, Marcus. (Editor), Stephan, Frank. (Editor), Vovk, Vladimir. (Editor), Zeugmann, Thomas. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Lecture Notes in Computer Science, 6331
• Subjects: Computer science.; Computer software.; Logic design.; Artificial intelligence.; Education.; Computer Science.; Artificial Intelligence (incl. Robotics).; Mathematical Logic and Formal Languages.; Algorithm Analysis and Problem Complexity.; Computation by Abstract Devices.; Logics and Meanings of Programs.; Computers and Education.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-16108-7
• Physical Description: XIII, 421p. 45 illus. online resource.
• ISBN: 9783642161087
• ISSN: 0302-9743

This book constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, held in Canberra, Australia, in October 2010, co-located with the 13th International Conference on Discovery Science, DS 2010. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 44 submissions. The papers are divided into topical sections of papers on statistical learning; grammatical inference and graph learning; probably approximately correct learning; query learning and algorithmic teaching; on-line learning; inductive inference; reinforcement learning; and on-line learning and kernel methods.