Algorithmic Learning Theory

23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012, Proceedings
Buch | Softcover
XII, 381 Seiten
2012 | 2012
Springer Berlin (Verlag)
978-3-642-34105-2 (ISBN)
53,49 inkl. MwSt
This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.

inductive inference.- teaching and PAC learning.- statistical learning theory and classification.- relations between models and data.- bandit problems, online prediction of individual sequences.- other models of online learning.

Erscheint lt. Verlag 15.9.2012
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XII, 381 p. 23 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 603 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Algorithm analysis and problem complexity • Computational Finance • domain adaptation • pattern mining • Reinforcement Learning • statistical learning theory
ISBN-10 3-642-34105-5 / 3642341055
ISBN-13 978-3-642-34105-2 / 9783642341052
Zustand Neuware
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