This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.
| ISBN: | 9783540202912 |
| Publication date: | 7th October 2003 |
| Author: | ALT 2003, Ricard Gavaldà, K P Jantke, Eiji Takimoto |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 312 pages |
| Series: | Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Natural language and machine translation Algorithms and data structures Mathematical theory of computation |
This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.
Algorithmic Learning Theory features in the following genres: Artificial intelligence, Natural language and machine translation, Algorithms and data structures, Mathematical theory of computation
Paperback. Not Available.
Algorithmic Learning Theory was written by ALT 2003, Ricard Gavaldà, K P Jantke, Eiji Takimoto and published by Springer an imprint of Springer Berlin Heidelberg
Algorithmic Learning Theory has 312 pages
Yes it is part of Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence series