16. ILP 2006:
Santiago de Compostela,
Spain
Stephen Muggleton, Ramón P. Otero, Alireza Tamaddoni-Nezhad (Eds.):
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 BibTeX
Invited Papers
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
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- Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Revising Probabilistic Prolog Programs.
30-33
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- Sebastian Fröhler, Stefan Kramer:
Inductive Logic Programming for Gene Regulation Prediction.
34-36
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- Stephen Muggleton, Alireza Tamaddoni-Nezhad:
QG/GA: A Stochastic Search for Progol.
37-39
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- Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe:
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models.
40-42
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- Fabrizio Riguzzi:
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions.
43-45
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- Ulrich Rückert, Stefan Kramer:
Margin-Based First-Order Rule Learning.
46-48
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Research Papers
- Érick Alphonse, Céline Rouveirol:
Extension of the Top-Down Data-Driven Strategy to ILP.
49-63
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- Dalal Alrajeh, Oliver Ray, Alessandra Russo, Sebastián Uchitel:
Extracting Requirements from Scenarios with ILP.
64-78
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- Margherita Berardi, Donato Malerba:
Learning Recursive Patterns for Biomedical Information Extraction.
79-93
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- Hendrik Blockeel, Wannes Meert:
Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks.
94-108
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- Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg:
Multi-class Prediction Using Stochastic Logic Programs.
109-124
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- Guillaume Cleuziou, Lionel Martin, Christel Vrain:
Structuring Natural Language Data by Learning Rewriting Rules.
125-138
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- Koichiro Doi, Tetsuya Yamashita, Akihiro Yamamoto:
An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification.
139-153
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- Kerstin Eder, Peter A. Flach, Hsiou-Wen Hsueh:
Towards Automating Simulation-Based Design Verification Using ILP.
154-168
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- Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
Minimal Distance-Based Generalisation Operators for First-Order Objects.
169-183
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- Michel Ferreira, Nuno A. Fonseca, Ricardo Rocha, Tiago Soares:
Efficient and Scalable Induction of Logic Programs Using a Deductive Database System.
184-198
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- Barnaby Fisher, James Cussens:
Inductive Mercury Programming.
199-213
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- Daniel Fredouille, Christopher H. Bryant, Channa K. Jayawickreme, Steven Jupe, Simon Topp:
An ILP Refinement Operator for Biological Grammar Learning.
214-228
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- Rocío García-Durán, Fernando Fernández, Daniel Borrajo:
Combining Macro-operators with Control Knowledge.
229-243
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- Tamás Horváth, Björn Bringmann, Luc De Raedt:
Frequent Hypergraph Mining.
244-259
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- Tomás Horváth, Peter Vojtás:
Induction of Fuzzy and Annotated Logic Programs.
260-274
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- Ning Jiang, Simon Colton:
Boosting Descriptive ILP for Predictive Learning in Bioinformatics.
275-289
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- Andreas Karwath, Kristian Kersting:
Relational Sequence Alignments and Logos.
290-304
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- Francesca A. Lisi, Floriana Esposito:
On the Missing Link Between Frequent Pattern Discovery and Concept Formation.
305-319
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- John W. Lloyd, Kee Siong Ng:
Learning Modal Theories.
320-334
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- Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano, Nobuhiro Inuzuka:
A Mining Algorithm Using Property Items Extracted from Sampled Examples.
335-350
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- Stephen Muggleton, Niels Pahlavi:
The Complexity of Translating BLPs to RMMs.
351-365
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- 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
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- Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan:
ILP Through Propositionalization and Stochastic k-Term DNF Learning.
379-393
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- Olga Skvortsova:
theta -Subsumption Based on Object Context.
394-408
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- Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes:
Word Sense Disambiguation Using Inductive Logic Programming.
409-423
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- Celine Vens, Jan Ramon, Hendrik Blockeel:
ReMauve: A Relational Model Tree Learner.
424-438
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- Monika Záková, Filip Zelezný, Javier A. Garcia-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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Copyright © Sat May 16 23:23:37 2009
by Michael Ley (ley@uni-trier.de)
