9783540602170 - Algorithmic Learning for Knowledge-Based Systems: GOSLER Final Report (Lecture Notes in Computer Science, 961, Band 961) von Lange, Steffen; Jantke, Klaus P. (4 Ergebnisse)

Zustand: Good. *Price HAS BEEN REDUCED by 10% until Monday, Feb. 16 (Sale item)* 511 pp., Paperback, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Softcover. Zustand: Bon. Ancien livre de bibliothèque. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations.

Taschenbuch. Zustand: Neu. Neuware -This book is the final report on a comprehensive basic research project, named GOSLER on algorithmic learning for knowledge-based systems supported by the German Federal Ministry of Research and Technology during the years 1991 - 1994. This research effort was focused on the study of fundamental learnability problems integrating theoretical research with the development of tools and experimental investigation.The contributions by 11 participants in the GOSLER project is complemented by contributions from 23 researchers from abroad. Thus the volume provides a competent introduction to algorithmic learning theory.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 532 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the final report on a comprehensive basic research project, named GOSLER on algorithmic learning for knowledge-based systems supported by the German Federal Ministry of Research and Technology during the years 1991 - 1994. This research effort was focused on the study of fundamental learnability problems integrating theoretical research with the development of tools and experimental investigation.The contributions by 11 participants in the GOSLER project is complemented by contributions from 23 researchers from abroad. Thus the volume provides a competent introduction to algorithmic learning theory.