Inductive Logic Programming [electronic resource] : 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers / edited by James Cussens, Alessandra Russo.
Contributor(s): Cussens, James [editor.]
| Russo, Alessandra [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Lecture Notes in Artificial Intelligence: 10326Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVII, 133 p. 44 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319633428.Subject(s): 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 DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online Predicate invention -- Graph-based learning -- Spatial learning -- Logical foundations -- Statistical relational learning.-Probabilistic ILP -- Implementation and scalability -- Applications in robotics, cyber security and games.
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.
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