15. ILP 2005: Bonn, Germany

Research Papers

• Hiroki Arimura, Takeaki Uno:
  An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees. 1-19
  
• Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai:
  Guiding Inference Through Relational Reinforcement Learning. 20-37
  
• John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael J. Witbrock, Brett Summers:
  Converting Semantic Meta-knowledge into Inductive Bias. 38-50
  
• Dongkyu Choi, Pat Langley:
  Learning Teleoreactive Logic Programs from Problem Solving. 51-68
  
• Héctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa:
  A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment. 69-86
  
• Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
  Distance Based Generalisation. 87-102
  
• Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
  Automatic Induction of Abduction and Abstraction Theories from Observations. 103-120
  
• Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon:
  Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. 121-135
  
• Nuno A. Fonseca, Fernando M. A. Silva, Rui Camacho:
  Strategies to Parallelize ILP Systems. 136-153
  
• Katsumi Inoue, Hideyuki Bando, Hidetomo Nabeshima:
  Inducing Causal Laws by Regular Inference. 154-171
  
• Frédéric Koriche:
  Online Closure-Based Learning of Relational Theories. 172-189
  
• Sergei O. Kuznetsov, Mikhail V. Samokhin:
  Learning Closed Sets of Labeled Graphs for Chemical Applications. 190-208
  
• Francesca A. Lisi, Floriana Esposito:
  ILP Meets Knowledge Engineering: A Case Study. 209-226
  
• Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza:
  Spatial Clustering of Structured Objects. 227-245
  
• Kee Siong Ng:
  Generalization Behaviour of Alkemic Decision Trees. 246-263
  
• Kee Siong Ng, John W. Lloyd:
  Predicate Selection for Structural Decision Trees. 264-278
  
• Ramón P. Otero:
  Induction of the Indirect Effects of Actions by Monotonic Methods. 279-294
  
• Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa:
  Probabilistic First-Order Theory Revision from Examples. 295-311
  
• Chiaki Sakama, Katsumi Inoue:
  Inductive Equivalence of Logic Programs. 312-329
  
• Yi-Dong Shen, Qiang Yang:
  Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. 330-347
  
• Ashwin Srinivasan, Ravi Kothari:
  A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space. 348-365
  
• Ryoji Takami, Yusuke Suzuki, Tomoyuki Uchida, Takayoshi Shoudai, Yasuaki Nakamura:
  Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data. 366-383
  
• Werner Uwents, Hendrik Blockeel:
  Classifying Relational Data with Neural Networks. 384-396
  
• Filip Zelezný:
  Efficient Sampling in Relational Feature Spaces. 397-413
  

Invited Papers

• Gerhard Widmer:
  Why Computers Need to Learn About Music. 414
  
• Lise Getoor:
  Tutorial on Statistical Relational Learning. 415
  
• Stephen Muggleton:
  Machine Learning for Systems Biology. 416-423
  
• Ashwin Srinivasan:
  Five Problems in Five Areas for Five Years. 424-425
  

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