19. ILP 2009: Leuven, Belgium

• Kamal Ali, Kevin Leung, Tolga Könik, Dongkyu Choi, Daniel G. Shapiro:
  Knowledge-Directed Theory Revision. 1-8
  
• Anton Dries, Luc De Raedt:
  Towards Clausal Discovery for Stream Mining. 9-16
  
• Daan Fierens:
  On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics. 17-24
  
• Joris J. M. Gillis, Jan Van den Bussche:
  Induction of Relational Algebra Expressions. 25-33
  
• Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel:
  A Logic-Based Approach to Relation Extraction from Texts. 34-48
  
• Katsumi Inoue, Koichi Furukawa, Ikuo Kobayashi, Hidetomo Nabeshima:
  Discovering Rules by Meta-level Abduction. 49-64
  
• Tolga Könik, Negin Nejati, Ugur Kuter:
  Inductive Generalization of Analytically Learned Goal Hierarchies. 65-72
  
• Jens Lehmann, Christoph Haase:
  Ideal Downward Refinement in the EL\mathcal{EL} Description Logic. 73-87
  
• Francesca A. Lisi, Floriana Esposito:
  Nonmonotonic Onto-Relational Learning. 88-95
  
• Wannes Meert, Jan Struyf, Hendrik Blockeel:
  CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. 96-109
  
• Lilyana Mihalkova, Matthew Richardson:
  Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. 110-122
  
• Stephen Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha:
  Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. 123-130
  
• Stephen Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad:
  ProGolem: A System Based on Relative Minimal Generalisation. 131-148
  
• Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page:
  An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. 149-165
  
• Louis Oliphant, Elizabeth S. Burnside, Jude W. Shavlik:
  Boosting First-Order Clauses for Large, Skewed Data Sets. 166-177
  
• Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
  Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages. 178-185
  
• Scott Proper, Prasad Tadepalli:
  Transfer Learning via Relational Templates. 186-193
  
• Oliver Ray, Ken E. Whelan, Ross D. King:
  Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data. 194-201
  
• Lothar Richter, Regina Augustin, Stefan Kramer:
  Finding Relational Associations in HIV Resistance Mutation Data. 202-208
  
• Hannes Schulz, Kristian Kersting, Andreas Karwath:
  ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. 209-216
  
• Ashwin Srinivasan, Ganesh Ramakrishnan:
  Parameter Screening and Optimisation for ILP Using Designed Experiments. 217-225
  
• Ingo Thon:
  Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models. 226-233
  
• Lisa Torrey, Jude W. Shavlik:
  Policy Transfer via Markov Logic Networks. 234-248
  
• Hiroaki Watanabe, Stephen Muggleton:
  Can ILP Be Applied to Large Datasets? 249-256
  

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