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Inductive Logic Programming : 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers / edited by James Cussens, Alessandra Russo.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 10326
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 10326
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Machine theory.
- Computer programming.
- Computer science.
- Data mining.
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Programming Techniques.
- Computer Science Logic and Foundations of Programming.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Programming Techniques.
- Computer Science Logic and Foundations of Programming.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XVII, 133 pages) : 44 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- This book constitutes the thoroughly refereed post-conference proceedings of the 26th International Conference on Inductive Logic Programming, ILP 2016, held in London, UK, in September 2016. The 10 full papers presented were carefully reviewed and selected from 29 submissions. The papers represent well the current breath of ILP research topics such as predicate invention; graph-based learning; spatial learning; logical foundations; statistical relational learning; probabilistic ILP; implementation and scalability; applications in robotics, cyber security and games.
- Contents:
- Predicate invention
- Graph-based learning
- Spatial learning
- Logical foundations
- Statistical relational learning.-Probabilistic ILP
- Implementation and scalability
- Applications in robotics, cyber security and games.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-63342-8
- 9783319633428
- Access Restriction:
- Restricted for use by site license.
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