Abstract is missing.
- Rule Interchange Format: Logic Programming s Second Wind?Michael Kifer. 1 [doi]
- Practical Probabilistic ProgrammingAvi Pfeffer. 2-3 [doi]
- Probabilistic Relational Learning and Inductive Logic Programming at a Global ScaleDavid Poole. 4-5 [doi]
- Learning Multi-class Theories in ILPTarek Abudawood, Peter A. Flach. 6-13 [doi]
- A Numerical Refinement Operator Based on Multi-Instance LearningÉrick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer. 14-21 [doi]
- Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of HousesLaura Antanas, Martijn Van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt. 22-29 [doi]
- Approximate Inference for Logic Programs with Annotated DisjunctionsStefano Bragaglia, Fabrizio Riguzzi. 30-37 [doi]
- Approximate Bayesian Computation for the Parameters of PRISM ProgramsJames Cussens. 38-46 [doi]
- Probabilistic Rule LearningLuc De Raedt, Ingo Thon. 47-58 [doi]
- Interactive Discriminative Mining of Chemical FragmentsNuno A. Fonseca, Max Pereira, Vítor Santos Costa, Rui Camacho. 59-66 [doi]
- MMRF for Proteome Annotation Applied to Human Protein Disease PredictionBeatriz García Jiménez, Agapito Ledezma, Araceli Sanchís. 67-75 [doi]
- Extending ProbLog with Continuous DistributionsBernd Gutmann, Manfred Jaeger, Luc De Raedt. 76-91 [doi]
- Multivariate Prediction for Learning on the Semantic WebYi Huang, Volker Tresp, Markus Bundschus, Achim Rettinger, Hans-Peter Kriegel. 92-104 [doi]
- Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation EnvironmentAlberto Illobre, Jorge Gonzalez, Ramón P. Otero, Jose Santos. 105-113 [doi]
- Hypothesizing about Causal Networks with Positive and Negative Effects by Meta-level AbductionKatsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima. 114-129 [doi]
- BET : An Inductive Logic Programming WorkbenchSrihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Kekin Gada, Chander Iyer, T. V. S. Kiran, Ashwin Srinivasan. 130-137 [doi]
- Seeing the World through Homomorphism: An Experimental Study on Reducibility of ExamplesOndrej Kuzelka, Filip Zelezný. 138-145 [doi]
- Learning Discriminant Rules as a Minimal Saturation SearchMatthieu Lopez, Lionel Martin, Christel Vrain. 146-157 [doi]
- Variation of Background Knowledge in an Industrial Application of ILPStephen Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg. 158-170 [doi]
- Pruning Search Space for Weighted First Order Horn Clause SatisfiabilityNaveen Nair, Anandraj Govindan, Chander Jayaraman, T. V. S. Kiran, Ganesh Ramakrishnan. 171-180 [doi]
- Multi-relational Pattern Mining Based-on Combination of Properties with Preserving Their Structure in ExamplesYusuke Nakano, Nobuhiro Inuzuka. 181-189 [doi]
- Learning from Noisy Data Using a Non-covering ILP AlgorithmAndrej Oblak, Ivan Bratko. 190-197 [doi]
- Can HOLL Outperform FOLL?Niels Pahlavi, Stephen Muggleton. 198-205 [doi]
- Incremental Learning of Relational Action Models in Noisy EnvironmentsChristophe Rodrigues, Pierre Gérard, Céline Rouveirol. 206-213 [doi]
- When Does It Pay Off to Use Sophisticated Entailment Engines in ILP?Jose Santos, Stephen Muggleton. 214-221 [doi]
- Stochastic RefinementAlireza Tamaddoni-Nezhad, Stephen Muggleton. 222-237 [doi]
- Fire! Firing Inductive Rules from Economic Geography for Fire Risk DetectionDavid Vaz, Vítor Santos Costa, Michel Ferreira. 238-252 [doi]
- Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background KnowledgeTrevor Walker, Ciaran O Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik. 253-268 [doi]
- Speeding Up Planning through Minimal Generalizations of Partially Ordered PlansRadomír Cernoch, Filip Zelezný. 269-276 [doi]