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Algorithmic Learning Theory : 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings / edited by Ronald Ortner, Hans Ulrich Simon, Sandra Zilles.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Ortner, Ronald, Editor.
Simon, Hans-Ulrich, Editor.
Zilles, Sandra., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9925
Lecture Notes in Artificial Intelligence, 2945-9141 ; 9925
Language:
English
Subjects (All):
Artificial intelligence.
Computer science.
Data mining.
Pattern recognition systems.
Artificial Intelligence.
Theory of Computation.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Local Subjects:
Artificial Intelligence.
Theory of Computation.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Physical Description:
1 online resource (XIX, 371 pages) : 21 illustrations
Edition:
1st ed. 2016.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering.
Contents:
Error bounds, sample compression schemes
Statistical learning, theory, evolvability
Exact and interactive learning
Complexity of teaching models
Inductive inference
Online learning
Bandits and reinforcement learning
Clustering.
Other Format:
Printed edition:
ISBN:
978-3-319-46379-7
9783319463797
Access Restriction:
Restricted for use by site license.

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