Algorithmic Learning Theory 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings

You must be logged in to access this title.

Sign up now

Already a member? Log in

Synopsis

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.

Book details

Edition:
1st ed. 2016
Series:
Lecture Notes in Computer Science (Book 9925)
Author:
Ronald Ortner, Hans Ulrich Simon and Sandra Zilles
ISBN:
9783319463797
Related ISBNs:
9783319463780
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-03-12
Usage restrictions:
Copyright
Copyright date:
2016
Copyright by:
Springer International Publishing, Cham 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Mathematics and Statistics, Nonfiction