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.
| ISBN: | 9783319244853 |
| Publication date: | 12th September 2015 |
| Author: | Kamalika Chaudhuri |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 395 pages |
| Series: | Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Mathematical theory of computation Data mining Expert systems / knowledge-based systems Pattern recognition |
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.
Algorithmic Learning Theory features in the following genres: Artificial intelligence, Mathematical theory of computation, Data mining, Expert systems / knowledge-based systems, Pattern recognition
Algorithmic Learning Theory is available in Paperback
Algorithmic Learning Theory was written by Kamalika Chaudhuri and published by Springer International Publishing AG
Algorithmic Learning Theory has 395 pages
Yes it is part of Lecture Notes in Artificial Intelligence series
£40.49