ILP 2007: Presentation Information

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Draft Papers of ILP 2007

These are the draft versions of papers from the 2007 International Conference on Inductive Logic Programming. Final versions of most of these papers will later appear in a proceedings published by Springer in their Lecture Notes in Artificial Intelligence series. Several will instead appear in a special issue of the journal Machine Learning. The rest will remain as non-archival "works in progress" papers. Papers published elsewhere will be removed from the site once finalized and only a citation will remain. Please only cite final versions of these papers.
Download all papers (tarred and gzipped) here.

Oral Presentations

Structural Sampling for Statistical Software Testing
	[Abstract] [draft paper]
	Nicolas Baskiotis, CNRS, Universite Paris-Sud, France Michele Sebag, CNRS, Universite Paris-Sud, France
Learning Declarative Bias
	[Abstract] [draft paper]
	Will Bridewell, Stanford University, USA Ljupco Todorovski, University of Ljubljana, Slovenia
Learning Probabilistic Logic Models from Probabilistic Examples
	[Abstract] [draft paper]
	Jianzhong Chen, Imperial College London, UK Stephen Muggleton, Imperial College London, UK Jose Santos, Imperial College London, UK
Empirical Comparison of ``Hard'' and ``Soft'' Label Propagation for Relational Classification
	[Abstract] [draft paper]
	Aram Galstyan, USC Information Sciences Institute, USA Paul Cohen, USC Information Sciences Institute, USA
Learning to Assign Degrees of Belief in Relational Domains
	[Abstract] [draft paper]
	Frederic Koriche, LIRMM, Universite Montpellier II, France
Applying Inductive Logic Programming to Process Mining
	[Abstract] [draft paper]
	Evelina Lamma, University of Ferrara, Italy Paola Mello, University of Bologna, Italy Fabrizio Riguzzi, University of Ferrara, Italy Sergio Storari, University of Ferrara, Italy
Foundations of Refinement Operators for Description Logics
	[Abstract] [draft paper]
	Jens Lehmann, Department of Computer Science, University of Leipzig, Germany Pascal Hitzler, AIFB, University of Karlsruhe, Germany
A Refinement Operator Based Learning Algorithm for the ALC Description Logic
	[Abstract] [draft paper]
	Jens Lehmann, Department of Computer Science, University of Leipzig, Germany Pascal Hitzler, AIFB, University of Karlsruhe, Germany
A Relational Hierarchical Model for Decision-Theoretic Assistance
	[Abstract] [draft paper]
	Sriraam Natarajan, Oregon State University, USA Prasad Tadepalli, Oregon State University, USA Alan Fern, Oregon State University, USA
Bias/Variance Analysis for Relational Domains
	[Abstract] [draft paper]
	Jennifer Neville, Purdue University, USA David Jensen, University of Massachusetts Amherst, USA
Mode Directed Inverse Entailment for Full Clausal Theories
	[Abstract] [draft paper]
	Oliver Ray, University of Bristol, UK Katsumi Inoue, National Institute of Informatics, Japan
Using ILP to Construct Features for Information Extraction from Semi-Structured Text
	[Abstract] [draft paper]
	Ganesh Ramakrishnan, IBM India Research Labs, India Sachindra Joshi, IBM India Research Labs, India Sreeram Balakrishnan, IBM India Research Labs, India Ashwin Srinivasan, IBM India Research Labs, India
Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns
	[Abstract] [draft paper]
	Yosuke Sasaki, Department of Informatics, Kyushu University, Japan Hitoshi Yamazaki, Department of Informatics, Kyushu University, Japan Takayoshi Shoudai, Department of Informatics, Kyushu University, Japan Tomoyuki Uchida, Department of Intelligent Systems, Hiroshima City University, Japan
Relational Macros for Transfer in Reinforcement Learning
	[Abstract] [draft paper]
	Lisa Torrey, University of Wisconsin - Madison, USA Jude Shavlik, University of Wisconsin - Madison, USA Trevor Walker, University of Wisconsin - Madison, USA Richard Maclin, University of Minnesota - Duluth, USA
An Inductive Learning System for XML Documents
	[Abstract] [draft paper]
	Xiaobing Wu, ICT Center, CSIRO, Australia

Posters

Clustering Relational Data based on Randomized Propositionalization
	[Abstract] [draft paper]
	Grant Anderson, University of Waikato, New Zealand Bernhard Pfahringer, University of Waikato, New Zealand
ILP :- Just Trie It
	[Abstract] [draft paper]
	Rui Camacho, Faculdade de Engenharia da Universidade do Porto & LIACC, Portugal Nuno Fonseca, Instituto de Biologia Molecular e Celular & LIACC, Portugal Ricardo Rocha, DCC-FC & LIACC, Portugal Vitor Santos Costa, DCC-FC & LIACC, Portugal
Dynamic Predicate Construction for Learning Relational Concepts
	[Abstract] [draft paper]
	Michael Chiang, University of British Columbia, Canada David Poole, University of British Columbia, Canada
Learning Relational Skills for Inductive Transfer in Relational Reinforcement Learning
	[Abstract] [draft paper]
	Tom Croonenborghs, K.U.Leuven, Belgium Kurt Driessens, K.U.Leuven, Belgium Maurice Bruynooghe, K.U.Leuven, Belgium
Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
	[Abstract] [draft paper]
	Claudia D'Amato, Dipartimento di Informatica, Università di Bari, Italy Nicola Fanizzi, Dipartimento di Informatica, Università di Bari, Italy Floriana Esposito, Dipartimento di Informatica, Università di Bari, Italy
Learning Directed Probabilistic Logical Models using Ordering-search
	[Abstract] [draft paper]
	Daan Fierens, Katholieke Universiteit Leuven, Belgium Jan Ramon, Katholieke Universiteit Leuven, Belgium Maurice Bruynooghe, Katholieke Universiteit Leuven, Belgium Hendrik Blockeel, Katholieke Universiteit Leuven, Belgium
A Phase Transition-Based Perspective on Multiple Instance Kernels
	[Abstract] [draft paper]
	Romaric Gaudel, LRI; Univ. Paris-Sud, CNRS; F-91405 Orsay / ENS Cachan, France Michèle Sebag, LRI; Univ. Paris-Sud, CNRS; F-91405 Orsay / INRIA Futurs; projet TAO, Bât. 490, F-91405 Orsay, France Antoine Cornuéjols, AgroParisTech; UMR MIA 518; F-75005 Paris, France
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
	[Abstract] [draft paper]
	Mark Goadrich, University of Wisconsin - Madison, USA Jude Shavlik, University of Wisconsin - Madison, USA
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
	[Abstract] [draft paper]
	Louis Oliphant, Computer Science Department, University of Wisconsin-Madison, USA Jude Shavlik, Computer Science Department, University of Wisconsin-Madison, USA
Revising First-Order Logic Theories from Examples through Stochastic Local Search
	[Abstract] [draft paper]
	Aline Paes, Dep. of Systems Engineering and Computer Science - COPPE/UFRJ, Brazi Gerson Zaverucha, Dep. of Systems Engineering and Computer Science - COPPE/UFRJ, Brazil Vítor Santos Costa, Dep. of Systems Engineering and Computer Science - COPPE/UFRJ, Brazil
Skimmed Classifiers
	[Abstract] [draft paper]
	Rogerio Salvini, Universidade Federal do Rio de Janeiro, Brazil Eduardo Aguilar, Universidade Federal do Rio de Janeiro, Brazil Inês Dutra, Universidade do Porto, Portugal
Seeing the Forest through the Trees: Learning a Comprehensible Model from a First Order Ensemble
	[Abstract] [draft paper]
	Anneleen Van Assche, Katholieke Universiteit Leuven, Belgium Hendrik Blockeel, Katholieke Universiteit Leuven, Belgium
Building Relational World Models for Reinforcement Learning
	[Abstract] [draft paper]
	Trevor Walker, University of Wisconsin - Madison, USA Lisa Torrey, University of Wisconsin - Madison, USA Jude Shavlik, University of Wisconsin - Madison, USA Richard Maclin, University of Minnesota - Duluth, USA
XML Document Classification with Co-training
	[Abstract] [draft paper]
	Xiaobing Wu, ICT Center, CSIRO, Australia