Algorithmic Learning Theory
Contributors: Nicolò Cesa-Bianchi (Editor); Masayuki Numao (Editor); Rüdiger Reischuk (Editor)
Edition: 1 edition
Publisher: Springer
Published: December 16, 2002
Language: eng
Format: Paperback
Number of pages: 415
ISBN-13: 9783540001706
Subjects: Algorithms & procedures; Mathematical theory of computation; Programming - General; Computers; Algorithms (Computer Programming); Computers - Languages / Programming; Machine Learning; Computer Books: General; General; Artificial Intelligence - General; Algorithmic Learning; Computational Learning; Computers / Artificial Intelligence; Concept Learning; Data Mining; Discovery Science; Heuristics; Inductive Inference; Learning Algorithms; Computer algorithms; Congresses
First sentence: Learning theory of mathematical or logical concepts seem to be one of the main research targets of learning theory and its applications.