16th International Conference on Inductive Logic Programming

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LNCS Springer-Verlag The proceedings of ILP 2006 will be published in the LNAI series of Springer-Verlag

Accepted Papers

Extension of the Top-Down Data-Driven Strategy to ILP
Erick Alphonse, Céline Rouveirol
Using near-misses to cross plateaus: a study about phase transitions in relational learning
Erick Alphonse, Aomar Osmani
Extracting requirements from scenarios with ILP
Dalal Alrajeh, Oliver Ray, Alessandra Russo, Sebastian Uchitel
Random Relational Rules
Grant Anderson, Bernhard Pfahringer
Abduction with Stochastic Logic Programs based on a Possible Worlds Semantics
Andreas Arvanitis, Stephen Muggleton, Jianzhong Chen, Hiroaki Watanabe
Inductive Corrections of Action Descriptions
Marcello Balduccini
Learning Recursive Patterns for Biomedical IE
Margherita Berardi, Donato Malerba
Induction of Abstraction Operators using Unsupervised Discretization of Continuous Attributes
Marenglen Biba, Stefano Ferilli, Teresa M.A. Basile, Nicola Di Mauro, Floriana Esposito
dRAP: A Framework for Distributed Mining Firts-Order Frequent Patterns
Jan Blatak, Lubos Popelinsky
Preprocessing and Visualization Tools for Inductive Logic Programming
Jan Blatak, Petra Turkova, Jindrich Brezina
Two novel methods for learning logic programs with annotated disjunctions
Hendrik Blockeel
From Definite Logic Programs to SeqLog or SeqLog Revisited
Maurice Bruynooghe
Comparative Evaluation of Approaches to Scale Up ILP
Pedro Cardoso, Gerson Zaverucha
TRANS-SC: a Transductive Structural Classifier
Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Barile
A Revised Comparison of Bayesian Logic Programs and Stochastic Logic Programs
Jianzhong Chen, Stephen Muggleton
Multi-Class Protein Fold Prediction Using Stochastic Logic Programs
Jianzhong Chen, Lawrence Kelley, Stephen Muggleton, Michael Sternberg
Structuring natural language data by learning rewriting rules
Guillaume Cleuziou, Lionel Martin, Christel Vrain
Revising Probabilistic Prolog Programs
Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen
Ramdom Searching the ILP Lattice
Nicola Di Mauro, Floriana Esposito, Teresa M.A. Basile, Stefano Ferilli
An Algorithm for Computing Kernel Function Defined with Anti-unification
Koichiro Doi, Tetsuya Yamashita, Akihiro Yamamoto
CF-Induction applied to Metabolic Flux Analysis
Andrei Doncescu, Katsumi Inoue, Gilles Richard
Towards Automating Simulation-Based Design Verification using ILP
Kerstin Eder, Peter Flach, Hsiou-Wen Hsueh
On the specificity of distance-based generalisation operators
Vicent Estruch, Cèsar Ferri, Jose Hernández-Orallo, María José Ramírez-Quintana
A New Similarity Measure for Guiding Generalizations Search
Stefano Ferilli, Teresa M.A. Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito
Efficient and Scalable Induction of Logic Programs using a Deductive Database System
Michel Ferreira, Ricardo Rocha, Tiago Soares, Nuno A. Fonseca
Inductive Mercury Programming
Barnaby Fisher, James Cussens
An ILP Refinement Operator for Biological Grammar Learning
Daniel Fredouille, Christopher H. Bryant, Channa Jayawickreme, Steven Jupe, Simon Topp
Inductive Logic Programming for Gene Regulation Prediction
Sebastian Fröhler, Stefan Kramer
Combining Macro-Operators with Control Knowledge
Rocio Garcia-Duran, Fernando Fernandez, Daniel Borrajo
Nearest Prototype Classification for Relational Learning
Rocio Garcia-Duran, Fernando Fernandez, Daniel Borrajo
Polynomial Time Inductive Inference of Unions of Two Term Tree Languages
Hidenori Hirashima, Yusuke Suzuki, Satoshi Matsumoto, Tomoyuki Uchida, Yasuaki Nakamura
A Refinement Operator for Outerplanar Graphs
Tamas Horvath, Tatsuya Akutsu, Stefan Wrobel
Frequent Hypergraph Mining
Tamas Horvath, Bjorn Bringmann, Luc De Raedt
Fuzzy Inductive Logic Programming
Tomas Horvath, Peter Vojtas
Learning Interrogative Dialect for a Subculture Using Inductive Logic Programming
Cameron Hughes, Tracey Hughes
Using ILP to study the presence of genetically modified variants in organic oilseed rape
Aneta Ivanovska, Celine Vens, Saso Dzeroski
Boosting Descriptive ILP for Predictive Learning
Ning Jiang, Simon Colton
Combining ILP and Parameter Estimation to Plan Robustly in Probabilistic Domains
Sergio Jimenez Celorrio, James Cussens
Using Background Knowledge for Graph Based Learning: a Case Study in Chemoinformatics
Thashmee Karunaratne, Henrik Boström
Learning Worst-Case Execution Time Loop Bounds with Inductive Logic Programming
Dimitar Kazakov, Iain Bate
On Relational Sequences Alignments and Their Information Contents
Kristian Kersting, Andreas Karwath
kFOIL: Learning Simple Relational Kernels
Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
Arc consistency projection: a new generality relation for ILP
Michel Liquiere
On the Missing Link between Frequent Pattern Discovery and Concept Formation
Francesca A. Lisi, Floriana Esposito
Learning Modal Theories
John Lloyd, Kee Siong Ng
Disjunctive Bottom Set and Their Computation
Wenjin Lu, Ross King
Improving Biological Grammar Acquisition by considering the length of training examples
Thierry Mamer, Christopher H. Bryant
Inverse Entailment and the Method of Moments
Flaviu Adrian Marginean
A mining algorithm using property items extracted from sampled examples
Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano, Nobuhiro Inuzuka
The Complexity of Translating BLPs to RMMs
Stephen Muggleton, Niels Pahlavi
Inferring Regulatory Networks from Time Series Expression Data and Relational Data via Inductive Logic Programming
Irene Ong, David Page, Vitor Santos Costa
Iaction, a System for Learning Action Descriptions for Planning
Ramon Otero, Miguel Varela
Ismodels, a System for Induction under Non-Horn Programs with Stable Models
Ramon Otero, Jorge Gonzalez
On McCarthy's Appearance and Reality Problem
Ramon Otero, Stephen Muggleton
ILP through Propositionalization and Stochastic k-term DNF Learning
Aline Paes, Filip Zelezny, Gerson Zaverucha, David Page, Ashwin Srinivasan
A contribution to learning in temporal logics
Lubos Popelinsky, Jan Blatak
Efficient Mining of Frequent Outerplanar Graphs
Jan Ramon
Generalizing Ordering-search for Learning Directed Probabilistic Logical Models
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
Combining Predicate Invention and Revision of Probabilistic FOL Theories
Kate Revoredo, Aline Paes, Gerson Zaverucha, Vitor Santos Costa
LLPAD: A System for Learning Logic Programs with Annotated Disjunctions
Fabrizio Riguzzi
Margin-Based First-Order Rule Learning
Ulrich Rückert, Stefan Kramer
Interactive Learning from Contradictions in a Paraconsistent Logic
Jean Sallantin, Christopher Dartnell, Mohammad Afshar
A New Context-Based θ-Subsumption Algorithm
Olga Skvortsova
Word Sense Disambiguation using ILP
Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes
Large scale online learning using analogical prediction
Alireza Tamaddoni-Nezhad, Richard Greaves, Stephen Muggleton
QG/GA: A Stochastic Search for Progol
Alireza Tamaddoni-Nezhad, Stephen Muggleton
Predictive Action Descriptions from Experience
Brian Tanner, Richard Sutton
Towards Meta-Level Descriptive ILP
Pedro Torres, Simon Colton
Random Local Bottom Clause Permutations for Better Search Space Exploration in Progol-like ILP Systems
Patrick Tschorn
Learning an Interpretable Model from an Ensemble in ILP
Anneleen Van Assche, Jan Ramon, Hendrik Blockeel
On homogeneity evaluation and seed selection in spatial clustering of structured objects
Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi, Donato Malerba
ReMauve: a relational model tree learner
Celine Vens, Jan Ramon, Hendrik Blockeel
Complexity Analysis of Abductive Action Theory
Hiroaki Watanabe, Katsumi Inoue, Stephen Muggleton
Partial Subsumption Test and Phase Transition
Samuel Wieczorek, Samia Aci, Sylvaine Roy, Gilles Bisson, Mirta B. Gordon
Learning Relational Distances
Adam Woznica, Alexandros Kalousis, Thomas Wacinski, Melanie Hilario
Using ILP for constructing process network in dies production
Atsushi Yamazaki, Tohgoroh Matsui, Hayato Ohwada, Kazuhiro Nakajima
Relational Data Mining Applied to Virtual Engineering of Product Designs
Monika Zakova, Filip Zelezny, Javier Garcia-Sedano, Cyril Masia Tissot, Nada Lavrac