Latest advances in inductive logic programming
This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park. The collection marks two decades since the first ILP workshop in 1991. During this period the area has developed into the main forum for work on logic-...
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| Language: | English |
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Hackensack, NJ
Imperial College Press
2014
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Table of Contents:
- pt. 1. Applications. 1. Can ILP learn complete and correct game strategies? / Stephen H. Muggleton and Changze Xu
- 2. Induction in nonmonotonic causal theories for a domestic service robot / Jianmin Ji and Xiaoping Chen
- 3. Using ontologies in semantic data mining with g-SEGS and Aleph / Anze Vavpetic and Nada Lavrac
- 4. Improving search engine query expansion techniques with ILP / Jose Carlos Almeida Santos and Manuel Fonseca de Sam Bento Ribeiro
- 5. ILP for cosmetic product selection / Hiroyuki Nishiyama and Fumio Mizoguchi
- 6. Learning user behaviours in real mobile domains / Andreas Markitanis ... [et al.]
- 7. Discovering ligands for TRP ion channels using formal concept analysis / Mahito Sugiyama ... [et al.]
- 8. Predictive learning in two-way datasets / Beau Piccart ... [et al.]
- 9. Model of double-strand break of DNA in logic-based hypothesis finding / Barthelemy Dworkin ... [et al.]
- pt. 2. Probabilistic logical learning. 10. The PITA system for logical-probabilistic inference / Fabrizio Riguzzi and Terrance Swift
- 11. Learning a generative failure-free PRISM clause / Waleed Alsanie and James Cussens
- 12. Statistical relational learning of object affordances for robotic manipulation / Bogdan Moldovan ... [et al.]
- 13. Learning from linked data by Markov logic / Man Zhu and Zhiqiang Gao
- 14. Satisfiability machines / Filip Zelezny
- pt. 3. Implementations. 15. Customisable multi-processor acceleration of inductive logic programming / Andreas K. Fidjeland, Wayne Luk and Stephen H. Muggleton
- 16. Multivalue learning in ILP / Orlando Muoz Texzocotetla and Ren Mac Kinney Romero
- 17. Learning dependent-concepts in ILP: application to model-driven data warehouses / Moez Essaidi, Aomar Osmani and Celine Rouveirol
- 18. Graph contraction pattern matching for graphs of bounded treewidth / Takashi Yamada and Takayoshi Shoudai
- 19. mLynx: relational mutual information / Nicola Di Mauro ... [et al.]
- pt. 4. Theory. 20. Machine learning coalgebraic proofs / Ekaterina Komendantskaya
- 21. Can ILP deal with incomplete and vague structured knowledge? / Francesca A. Lisi and Umberto Straccia
- pt. 5. Logical learning. 22. Towards efficient higher-order logic learning in a first-order datalog framework / Niels Pahlavi and Stephen H. Muggleton
- 23. Automatic invention of functional abstractions / Robert J. Henderson and Stephen H. Muggleton
- pt. 6. Constraints. 24. Using machine-generated soft constraints for roster problems / Yoshihisa Shiina and Hayato Ohwada
- pt. 7. Spacial and temporal. 25. Relational learning for football-related predictions / Jan Van Haaren and Guy Van den Broeck