Algorithmic Learning Theory

22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011, Proceedings

Jyriki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann (Herausgeber)

Buch | Softcover

XIII, 453 Seiten

2011
Springer Berlin (Verlag)
978-3-642-24411-7 (ISBN)

Infos

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011.
The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

Produkt-Details

• Erscheint lt. Verlag: 23.9.2011
• Reihe/Serie: Lecture Notes in Artificial Intelligence
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: XIII, 453 p.
• Verlagsort: Berlin
• Sprache: englisch
• Maße: 155 x 235 mm
• Gewicht: 652 g
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Algorithm analysis and problem complexity • Algorithmic information theory • Game Theory • Probability • Reinforcement Learning • universal artificial intelligence
• ISBN-10: 3-642-24411-4 / 3642244114
• ISBN-13: 978-3-642-24411-7 / 9783642244117
• Zustand: Neuware