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ORCID16th ILP 2006: Santiago de Compostela, Spain
- Stephen H. Muggleton, Ramón P. Otero, Alireza Tamaddoni-Nezhad:
Inductive Logic Programming, 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4455, Springer 2007, ISBN 978-3-540-73846-6
Invited Papers
- Vladimir Lifschitz:
Actions, Causation and Logic Programming. 1 - John McCarthy:
Challenges to Machine Learning: Relations Between Reality and Appearance. 2-9 - Brian Milch, Stuart Russell:
First-Order Probabilistic Languages: Into the Unknown. 10-24 - Bart Selman:
Integration of Learning and Reasoning Techniques. 25 - Ehud Shapiro:
Injecting Life with Computers. 26
Special Issue Extended Abstracts
- Érick Alphonse, Aomar Osmani
:
On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate. 27-29 - Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Revising Probabilistic Prolog Programs. 30-33 - Sebastian Fröhler, Stefan Kramer:
Inductive Logic Programming for Gene Regulation Prediction. 34-36 - Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
QG/GA: A Stochastic Search for Progol. 37-39 - Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe:
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. 40-42 - Fabrizio Riguzzi:
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions. 43-45 - Ulrich Rückert, Stefan Kramer:
Margin-Based First-Order Rule Learning. 46-48
Research Papers
- Érick Alphonse, Céline Rouveirol:
Extension of the Top-Down Data-Driven Strategy to ILP. 49-63 - Dalal Alrajeh, Oliver Ray, Alessandra Russo, Sebastián Uchitel:
Extracting Requirements from Scenarios with ILP. 64-78 - Margherita Berardi, Donato Malerba:
Learning Recursive Patterns for Biomedical Information Extraction. 79-93 - Hendrik Blockeel, Wannes Meert:
Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. 94-108 - Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg:
Multi-class Prediction Using Stochastic Logic Programs. 109-124 - Guillaume Cleuziou, Lionel Martin, Christel Vrain:
Structuring Natural Language Data by Learning Rewriting Rules. 125-138 - Koichiro Doi, Tetsuya Yamashita, Akihiro Yamamoto:
An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification. 139-153 - Kerstin Eder, Peter A. Flach, Hsiou-Wen Hsueh:
Towards Automating Simulation-Based Design Verification Using ILP. 154-168 - Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
Minimal Distance-Based Generalisation Operators for First-Order Objects. 169-183 - Michel Ferreira, Nuno A. Fonseca, Ricardo Rocha, Tiago Soares:
Efficient and Scalable Induction of Logic Programs Using a Deductive Database System. 184-198 - Barnaby Fisher, James Cussens:
Inductive Mercury Programming. 199-213 - Daniel Fredouille, Christopher H. Bryant, Channa K. Jayawickreme, Steven Jupe, Simon Topp:
An ILP Refinement Operator for Biological Grammar Learning. 214-228 - Rocío García-Durán, Fernando Fernández, Daniel Borrajo:
Combining Macro-operators with Control Knowledge. 229-243 - Tamás Horváth, Björn Bringmann, Luc De Raedt:
Frequent Hypergraph Mining. 244-259 - Tomás Horváth, Peter Vojtás:
Induction of Fuzzy and Annotated Logic Programs. 260-274 - Ning Jiang, Simon Colton:
Boosting Descriptive ILP for Predictive Learning in Bioinformatics. 275-289 - Andreas Karwath, Kristian Kersting:
Relational Sequence Alignments and Logos. 290-304 - Francesca A. Lisi, Floriana Esposito:
On the Missing Link Between Frequent Pattern Discovery and Concept Formation. 305-319 - John W. Lloyd, Kee Siong Ng:
Learning Modal Theories. 320-334 - Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano, Nobuhiro Inuzuka:
A Mining Algorithm Using Property Items Extracted from Sampled Examples. 335-350 - Stephen H. Muggleton, Niels Pahlavi:
The Complexity of Translating BLPs to RMMs. 351-365 - Irene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa:
Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming. 366-378 - Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan:
ILP Through Propositionalization and Stochastic k-Term DNF Learning. 379-393 - Olga Skvortsova:
theta -Subsumption Based on Object Context. 394-408 - Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes:
Word Sense Disambiguation Using Inductive Logic Programming. 409-423 - Celine Vens, Jan Ramon, Hendrik Blockeel:
ReMauve: A Relational Model Tree Learner. 424-438 - Monika Záková, Filip Zelezný, Javier A. García-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina:
Relational Data Mining Applied to Virtual Engineering of Product Designs. 439-453
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