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