This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full 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: | 9783319780894 |
| Publication date: | 15th March 2018 |
| Author: | Nicolas Lachiche |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 185 pages |
| Series: | Lecture Notes in Artificial Intelligence |
| Genres: |
Mathematical theory of computation Artificial intelligence Compilers and interpreters Computer programming / software engineering |