Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings

Gespeichert in:

Personen und Körperschaften:	Bshouty, Nader H. (VerfasserIn), Stoltz, Gilles (Sonstige), Vayatis, Nicolas (Sonstige), Zeugmann, Thomas (Sonstige)
Titel:	Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings/ edited by Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
Format:	E-Book Konferenzbericht
Sprache:	Englisch
veröffentlicht:	Berlin, Heidelberg Springer 2012
Gesamtaufnahme:	SpringerLink Lecture notes in computer science ; 7568
Schlagwörter:	Computer software Logic design Optical pattern recognition Computer Science Computer science Artificial intelligence Algorithms. Machine theory. Pattern recognition systems. Konferenzschrift > 2012 > Lyon Konferenzschrift
Buchausg. u.d.T.:	Algorithmic learning theory, Berlin : Springer, 2012, XI, 379 S.
Quelle:	Verbunddaten SWB
Zugangsinformationen:	Elektronischer Volltext - Campuslizenz

Details
Zusammenfassung:	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
Beschreibung:	Literaturangaben
Umfang:	Online-Ressource (XII, 381 p. 23 illus, digital)
ISBN:	9783642341069
DOI:	10.1007/978-3-642-34106-9