20. ILP 2010:
Florence, Italy
Paolo Frasconi, Francesca A. Lisi (Eds.):
Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers.
Lecture Notes in Computer Science 6489 Springer 2011, ISBN 978-3-642-21294-9
Abstracts of Invited Talks
- Michael Kifer:
Rule Interchange Format: Logic Programming's Second Wind?
1

- Avi Pfeffer:
Practical Probabilistic Programming.
2-3

- David Poole:
Probabilistic Relational Learning and Inductive Logic Programming at a Global Scale.
4-5

Research Papers
- Tarek Abudawood, Peter A. Flach:
Learning Multi-class Theories in ILP.
6-13

- Érick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer:
A Numerical Refinement Operator Based on Multi-Instance Learning.
14-21

- Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt:
Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses.
22-29

- Stefano Bragaglia, Fabrizio Riguzzi:
Approximate Inference for Logic Programs with Annotated Disjunctions.
30-37

- James Cussens:
Approximate Bayesian Computation for the Parameters of PRISM Programs.
38-46

- Luc De Raedt, Ingo Thon:
Probabilistic Rule Learning.
47-58

- Nuno A. Fonseca, Max Pereira, Vítor Santos Costa, Rui Camacho:
Interactive Discriminative Mining of Chemical Fragments.
59-66

- Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchís:
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction.
67-75

- Bernd Gutmann, Manfred Jaeger, Luc De Raedt:
Extending ProbLog with Continuous Distributions.
76-91

- Yi Huang, Volker Tresp, Markus Bundschus, Achim Rettinger, Hans-Peter Kriegel:
Multivariate Prediction for Learning on the Semantic Web.
92-104

- Alberto Illobre, Jorge Gonzalez, Ramón P. Otero, Jose Santos:
Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment.
105-113

- Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima:
Hypothesizing about Causal Networks with Positive and Negative Effects by Meta-level Abduction.
114-129

- Srihari Kalgi, Chirag Gosar, Prasad Gawde, Ganesh Ramakrishnan, Kekin Gada, Chander Iyer, T. V. S. Kiran, Ashwin Srinivasan:
BET : An Inductive Logic Programming Workbench.
130-137

- Ondrej Kuzelka, Filip Zelezný:
Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples.
138-145

- Matthieu Lopez, Lionel Martin, Christel Vrain:
Learning Discriminant Rules as a Minimal Saturation Search.
146-157

- Stephen Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg:
Variation of Background Knowledge in an Industrial Application of ILP.
158-170

- Naveen Nair, Anandraj Govindan, Chander Jayaraman, T. V. S. Kiran, Ganesh Ramakrishnan:
Pruning Search Space for Weighted First Order Horn Clause Satisfiability.
171-180

- Yusuke Nakano, Nobuhiro Inuzuka:
Multi-relational Pattern Mining Based-on Combination of Properties with Preserving Their Structure in Examples.
181-189

- Andrej Oblak, Ivan Bratko:
Learning from Noisy Data Using a Non-covering ILP Algorithm.
190-197

- Niels Pahlavi, Stephen Muggleton:
Can HOLL Outperform FOLL?
198-205

- Christophe Rodrigues, Pierre Gérard, Céline Rouveirol:
Incremental Learning of Relational Action Models in Noisy Environments.
206-213

- Jose Santos, Stephen Muggleton:
When Does It Pay Off to Use Sophisticated Entailment Engines in ILP?
214-221

- Alireza Tamaddoni-Nezhad, Stephen Muggleton:
Stochastic Refinement.
222-237

- David Vaz, Vítor Santos Costa, Michel Ferreira:
Fire! Firing Inductive Rules from Economic Geography for Fire Risk Detection.
238-252

- Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik:
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.
253-268

- Radomír Cernoch, Filip Zelezný:
Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans.
269-276

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