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ORCID15. ILP 2005: Bonn, Germany
- Stefan Kramer, Bernhard Pfahringer:
Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings. Lecture Notes in Computer Science 3625, Springer 2005, ISBN 3-540-28177-0
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 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 H. Muggleton:
Machine Learning for Systems Biology. 416-423 - Ashwin Srinivasan:
Five Problems in Five Areas for Five Years. 424-425
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