Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings

Gespeichert in:

Personen und Körperschaften:	Jain, Sanjay (VerfasserIn), Munos, Rémi (HerausgeberIn), Stephan, Frank (HerausgeberIn), Zeugmann, Thomas (HerausgeberIn)
Titel:	Algorithmic Learning Theory: 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings/ edited by Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann
Format:	E-Book Konferenzbericht
Sprache:	Englisch
veröffentlicht:	Berlin, Heidelberg Springer 2013
Gesamtaufnahme:	SpringerLink Lecture notes in computer science ; 8139
Schlagwörter:	Computer software Logic design Optical pattern recognition Computer Science Computer science Artificial intelligence Algorithms. Machine theory. Pattern recognition systems. Konferenzschrift > 2005 > Singapur Konferenzschrift
Druckausg.:	Algorithmic learning theory, Heidelberg : Springer, 2013, XVII, 396 S.
Quelle:	Verbunddaten SWB
Zugangsinformationen:	Elektronischer Volltext - Campuslizenz

Details
Zusammenfassung:	This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning
Beschreibung:	Literaturangaben
Umfang:	Online-Ressource (XVIII, 397 p. 30 illus, online resource)
ISBN:	9783642409356
DOI:	10.1007/978-3-642-40935-6