Conferences in DBLP

International Workshop on Inductive Logic Programming (ILP) (ilp)
2005 (conf/ilp/2005)

1. Hiroki Arimura, Takeaki Uno
   An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:1-19 [Conf]
   
2. Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai
   Guiding Inference Through Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:20-37 [Conf]
   
3. John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael J. Witbrock, Brett Summers
   Converting Semantic Meta-knowledge into Inductive Bias. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:38-50 [Conf]
   
4. Dongkyu Choi, Pat Langley
   Learning Teleoreactive Logic Programs from Problem Solving. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:51-68 [Conf]
   
5. 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. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:69-86 [Conf]
   
6. Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana
   Distance Based Generalisation. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:87-102 [Conf]
   
7. Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
   Automatic Induction of Abduction and Abstraction Theories from Observations. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:103-120 [Conf]
   
8. Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
   Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:121-135 [Conf]
   
9. Nuno Fonseca, Fernando M. A. Silva, Rui Camacho
   Strategies to Parallelize ILP Systems. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:136-153 [Conf]
   
10. Katsumi Inoue, Hideyuki Bando, Hidetomo Nabeshima
    Inducing Causal Laws by Regular Inference. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:154-171 [Conf]
    
11. Frédéric Koriche
    Online Closure-Based Learning of Relational Theories. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:172-189 [Conf]
    
12. Sergei O. Kuznetsov, Mikhail V. Samokhin
    Learning Closed Sets of Labeled Graphs for Chemical Applications. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:190-208 [Conf]
    
13. Francesca A. Lisi, Floriana Esposito
    ILP Meets Knowledge Engineering: A Case Study. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:209-226 [Conf]
    
14. Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza
    Spatial Clustering of Structured Objects. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:227-245 [Conf]
    
15. Kee Siong Ng
    Generalization Behaviour of Alkemic Decision Trees. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:246-263 [Conf]
    
16. Kee Siong Ng, John W. Lloyd
    Predicate Selection for Structural Decision Trees. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:264-278 [Conf]
    
17. Ramón P. Otero
    Induction of the Indirect Effects of Actions by Monotonic Methods. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:279-294 [Conf]
    
18. Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
    Probabilistic First-Order Theory Revision from Examples. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:295-311 [Conf]
    
19. Chiaki Sakama, Katsumi Inoue
    Inductive Equivalence of Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:312-329 [Conf]
    
20. Yi-Dong Shen, Qiang Yang
    Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:330-347 [Conf]
    
21. Ashwin Srinivasan, Ravi Kothari
    A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:348-365 [Conf]
    
22. Ryoji Takami, Yusuke Suzuki, Tomoyuki Uchida, Takayoshi Shoudai, Yasuaki Nakamura
    Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:366-383 [Conf]
    
23. Werner Uwents, Hendrik Blockeel
    Classifying Relational Data with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:384-396 [Conf]
    
24. Filip Zelezný
    Efficient Sampling in Relational Feature Spaces. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:397-413 [Conf]
    
25. Gerhard Widmer
    Why Computers Need to Learn About Music. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:414- [Conf]
    
26. Lise Getoor
    Tutorial on Statistical Relational Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:415- [Conf]
    
27. Stephen Muggleton
    Machine Learning for Systems Biology. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:416-423 [Conf]
    
28. Ashwin Srinivasan
    Five Problems in Five Areas for Five Years. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:424-425 [Conf]