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20. ILP 2010: Florence, Italy
- Paolo Frasconi, Francesca A. Lisi:
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.
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
Probabilistic Rule Learning. 47-58 - Nuno A. Fonseca
Interactive Discriminative Mining of Chemical Fragments. 59-66 - Beatriz García Jiménez
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. 67-75 - Bernd Gutmann, Manfred Jaeger
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, José Santos Reyes:
Learning Action Descriptions of Opponent Behaviour in the Robocup 2D Simulation Environment. 105-113 - Katsumi Inoue
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
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 H. Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie
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 H. Muggleton:
Can HOLL Outperform FOLL? 198-205 - Christophe Rodrigues
Incremental Learning of Relational Action Models in Noisy Environments. 206-213 - Jose Santos, Stephen H. Muggleton:
When Does It Pay Off to Use Sophisticated Entailment Engines in ILP? 214-221 - Alireza Tamaddoni-Nezhad
Stochastic Refinement. 222-237 - David Vaz, Vítor Santos Costa
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
Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans. 269-276
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