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ORCID26th ILP 2016: London, UK
- James Cussens, Alessandra Russo:
Inductive Logic Programming - 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10326, Springer 2017, ISBN 978-3-319-63341-1 - Joana Côrte-Real, Inês Dutra
, Ricardo Rocha:
Estimation-Based Search Space Traversal in PILP Environments. 1-13 - Marcin Malec, Tushar Khot, James G. Nagy, Erik Blask, Sriraam Natarajan:
Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks. 14-26 - Evangelos Michelioudakis, Alexander Artikis, Georgios Paliouras:
Online Structure Learning for Traffic Management. 27-39 - Phillip Odom, Raksha Kumaraswamy, Kristian Kersting, Sriraam Natarajan:
Learning Through Advice-Seeking via Transfer. 40-51 - Ute Schmid, Christina Zeller, Tarek R. Besold, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
How Does Predicate Invention Affect Human Comprehensibility? 52-67 - Takayoshi Shoudai, Satoshi Matsumoto, Yusuke Suzuki:
Distributional Learning of Regular Formal Graph System of Bounded Degree. 68-80 - Ameet Soni, Dileep Viswanathan, Jude W. Shavlik, Sriraam Natarajan:
Learning Relational Dependency Networks for Relation Extraction. 81-93 - Hai Dang Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Francesca A. Lisi, Gerhard Weikum:
Towards Nonmonotonic Relational Learning from Knowledge Graphs. 94-107 - Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka:
Learning Predictive Categories Using Lifted Relational Neural Networks. 108-119 - Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia:
Generation of Near-Optimal Solutions Using ILP-Guided Sampling. 120-131
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