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ORCID8. ILP 1998: Madison, Wisconsin, USA
- David Page:
Inductive Logic Programming, 8th International Workshop, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998, Proceedings. Lecture Notes in Computer Science 1446, Springer 1998, ISBN 3-540-64738-4 - Luc De Raedt
:
Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). 1-8 - Stephen H. Muggleton:
Advances in ILP Theory and Implementations (Abstract). 9 - Ashwin Srinivasan:
Application of ILP to Problems in Chemistry and Biology (Abstract). 10 - Saso Dzeroski, Luc De Raedt, Hendrik Blockeel:
Relational Reinforcement Learning. 11-22 - Chandra Reddy, Prasad Tadepalli:
Learning First-Order Acyclic Horn Programs from Entailment. 23-37 - Seán Slattery, Mark Craven:
Combining Statistical and Relational Methods for Learning in Hypertext Domains. 38-52 - Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg:
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. 53-64 - Uta Bohnebeck, Tamás Horváth, Stefan Wrobel:
Term Comparisons in First-Order Similarity Measures. 65-79 - Stefan Kramer, Bernhard Pfahringer, Christoph Helma:
Stochastic Propositionalization of Non-determinate Background Knowledge. 80-94 - Michèle Sebag:
A Stochastic Simple Similarity. 95-105 - James Cussens:
Using Prior Probabilities and Density Estimation for Relational Classification. 106-115 - Martin Eineborg, Nikolaj Lindberg:
Induction of Constraint Grammar-Rules Using Progol. 116-124 - Dimitar Kazakov, Suresh Manandhar:
A Hybrid Approach t Word Segmentation. 125-134 - Suresh Manandhar, Saso Dzeroski, Tomaz Erjavec:
Learning Multilingual Morphology with CLOG. 135-144 - Nico Jacobs, Kurt Driessens, Luc De Raedt:
Using ILP-Systems for Verification and Validation of Multi-agent Systems. 145-154 - Tomofumi Nakano, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh:
Inducing Shogi Heuristics Using Inductive Logic Programming. 155-164 - Khalid Khan, Stephen H. Muggleton, Rupert Parson:
Repeat Learning Using Predicate Invention. 165-174 - Leonardo Fogel, Gerson Zaverucha:
Normal Programs and Multiple Predicate Learning. 175-184 - Peter A. Flach, Christophe G. Giraud-Carrier, John W. Lloyd:
Strongly Typed Inductive Concept Learning. 185-194 - Richard Nock, Pascal Jappy:
Function-Free Horn Clauses Are Hard to Approximate. 195-204 - Jukka Hekanaho:
DOGMA: A GA-Based Relational Learner. 205-214 - Zdravko Markov:
Generalization under Implication by lambda-Subsumption. 215-224 - Claude Sammut:
Prolog, Refinements and RLGG's. 225-234 - Jean-Daniel Zucker, Jean-Gabriel Ganascia:
Learning Structurally Indeterminate Clauses. 235-244 - Stephen H. Muggleton:
Completing Inverse Entailment. 245-249 - Shan-Hwei Nienhuys-Cheng:
Distances and Limits on Herbrand Interpretations. 250-260 - Mathias Kirsten, Stefan Wrobel:
Relational Distance-Based Clustering. 261-270 - Jan Ramon, Maurice Bruynooghe:
A Framework for Defining Distances Between First-Order Logic Objects. 271-280 - Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure, Stephen H. Muggleton, Wim Van Laer:
Detecting Traffic Problems with ILP. 281-290 - Sam Roberts, Wim Van Laer, Nico Jacobs, Stephen H. Muggleton, Jeremy Broughton:
A Comparison of ILP and Propositional Systems on Propositional Traffic Data. 291-299
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