Abstract is missing.
- Reframing on Relational DataChowdhury Farhan Ahmed, Clément Charnay, Nicolas Lachiche, Agnès Braud. 1-15 [doi]
- Inductive Learning Using Constraint-Driven BiasDuangtida Athakravi, Dalal Alrajeh, Krysia Broda, Alessandra Russo, Ken Satoh. 16-32 [doi]
- Nonmonotonic Learning in Large Biological NetworksStefano Bragaglia, Oliver Ray. 33-48 [doi]
- Construction of Complex Aggregates with Random Restart Hill-ClimbingClément Charnay, Nicolas Lachiche, Agnès Braud. 49-61 [doi]
- Logical Minimisation of Meta-Rules Within Meta-Interpretive LearningAndrew Cropper, Stephen H. Muggleton. 62-75 [doi]
- Goal and Plan Recognition via Parse Trees Using Prefix and Infix Probability ComputationRyosuke Kojima, Taisuke Sato. 76-91 [doi]
- Effectively Creating Weakly Labeled Training Examples via Approximate Domain KnowledgeSriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Re, Jude W. Shavlik. 92-107 [doi]
- Learning Prime Implicant Conditions from Interpretation TransitionTony Ribeiro, Katsumi Inoue. 108-125 [doi]
- Statistical Relational Learning for Handwriting RecognitionArti Shivram, Tushar Khot, Sriraam Natarajan, Venu Govindaraju. 126-138 [doi]
- The Most Probable Explanation for Probabilistic Logic Programs with Annotated DisjunctionsDimitar Sht. Shterionov, Joris Renkens, Jonas Vlasselaer, Angelika Kimmig, Wannes Meert, Gerda Janssens. 139-153 [doi]
- Towards Machine Learning of Predictive Models from Ecological DataAlireza Tamaddoni-Nezhad, David Bohan, Alan Raybould, Stephen Muggleton. 154-167 [doi]
- PageRank, ProPPR, and Stochastic Logic ProgramsDries Van Daele, Angelika Kimmig, Luc De Raedt. 168-180 [doi]
- Complex Aggregates over Clusters of ElementsCeline Vens, Sofie Van Gassen, Tom Dhaene, Yvan Saeys. 181-193 [doi]
- On the Complexity of Frequent Subtree Mining in Very Simple StructuresPascal Welke, Tamás Horváth, Stefan Wrobel. 194-209 [doi]