Abstract is missing.
- Relational Kernel-Based Grasping with Numerical FeaturesLaura Antanas, Plinio Moreno, Luc De Raedt. 1-14 [doi]
- CARAF: Complex Aggregates within Random ForestsClément Charnay, Nicolas Lachiche, Agnès Braud. 15-29 [doi]
- Distributed Parameter Learning for Probabilistic OntologiesGiuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma. 30-45 [doi]
- Meta-Interpretive Learning of Data Transformation ProgramsAndrew Cropper, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton. 46-59 [doi]
- Statistical Relational Learning with Soft QuantifiersGolnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock. 60-75 [doi]
- Ontology Learning from Interpretations in Lightweight Description LogicsSzymon Klarman, Katarina Britz. 76-90 [doi]
- Constructing Markov Logic Networks from First-Order Default RulesOndrej Kuzelka, Jesse Davis, Steven Schockaert. 91-105 [doi]
- Mine 'Em All: A Note on Mining All GraphsOndrej Kuzelka, Jan Ramon. 106-121 [doi]
- Processing Markov Logic Networks with GPUs: Accelerating Network GroundingCarlos Alberto Martinez-Angeles, Inês Dutra, Vítor Santos Costa, Jorge Buenabad Chávez. 122-136 [doi]
- Using ILP to Identify Pathway Activation Patterns in Systems BiologySamuel R. Neaves, Louise A. C. Millard, Sophia Tsoka. 137-151 [doi]
- kProbLog: An Algebraic Prolog for Kernel ProgrammingFrancesco Orsini, Paolo Frasconi, Luc De Raedt. 152-165 [doi]
- An Exercise in Declarative Modeling for Relational Query MiningSergey Paramonov, Matthijs van Leeuwen, Marc Denecker, Luc De Raedt. 166-182 [doi]
- Learning Inference by InductionChiaki Sakama, Tony Ribeiro, Katsumi Inoue. 183-199 [doi]
- Identification of Transition Models of Biological Systems in the Presence of Transition NoiseAshwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal. 200-214 [doi]