Algorithmic Learning Theory
Subtitle: 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings (Lecture Notes in Computer Science)
Contributors: Klaus P. Jantke (Editor); Shigenobu Kobayashi (Editor); Etsuji Tomita (Editor); Takashi Yokomori (Editor)
Edition: 1 edition
Publisher: Springer
Published: November 19, 1993
Language: eng
Format: Paperback
Number of pages: 424
ISBN-13: 9783540573708
Subjects: Machine learning; Mathematical foundations; Mathematical theory of computation; Computer Science; Computers - General Information; Artificial Intelligence - General; Algorithmisches Lernen; Approximatives Lernen; Computers / Artificial Intelligence; Induktive Inferenz; Induktive Logik; Maschinelles Lernen; algorithmic learning; approximate learning; inductive inference; inductive logic
First sentence: Algorithmic Learning Theory treats both the theory of learning and the design of practical algorithms.