Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2015
Genre:	EDV / Informatik
	algorithmic learning theory / Artificial Intelligence / Automated Pattern Recognition / C / Computational complexity / computer science / Computers / Data Mining / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / generalization bounds / kolmogorov complexity / Mathematical theory of computation / Mustererkennung / pattern recognition / sample complexity / semi-supervised learning / statistical learning theory / Theoretische Informatik / Theory of Computation / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783319244853
EAN-Code:	9783319244853
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Lecture Notes in Artificial Intelligence #9355 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6263 gr
Seiten:	395
Illustration:	XVII, 395 p. 26 illus. in color., farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.