This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses.
Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.
| ISBN: | 9783030492090 |
| Publication date: | 3rd June 2020 |
| Author: | Dimitar Kazakov |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 145 pages |
| Series: | Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Mathematical theory of computation Compilers and interpreters Applied computing Network hardware |
This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers presented were carefully reviewed and selected from numerous submissions.
Inductive Logic Programming features in the following genres: Artificial intelligence, Mathematical theory of computation, Compilers and interpreters, Applied computing, Network hardware
Paperback. £40.49, down from the £44.99 cover price. Not Available.
Inductive Logic Programming was written by Dimitar Kazakov and published by Springer Nature Switzerland AG
Inductive Logic Programming has 145 pages
Yes it is part of Lecture Notes in Artificial Intelligence series
£40.49, reduced from £44.99. Not Available.