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ORCID9. ILP 1999: Bled, Slovenia
- Saso Dzeroski, Peter A. Flach
:
Inductive Logic Programming, 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings. Lecture Notes in Computer Science 1634, Springer 1999, ISBN 3-540-66109-3
Invited Papers
- Daphne Koller:
Probabilistic Relational Models. 3-13 - Heikki Mannila:
Inductive Databases (Abstract). 14 - J. Ross Quinlan:
Some Elements of Machine Learning (Extended Abstract). 15-18
Contributed Papers
- Liviu Badea, Monica Stanciu:
Refinement Operators Can Be (Weakly) Perfect. 21-32 - Henrik Boström, Lars Asker:
Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction. 33-43 - Ivan Bratko:
Refining Complete Hypotheses in ILP. 44-55 - Kazuya Chiba, Hayato Ohwada, Fumio Mizoguchi:
Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning. 56-67 - James Cussens, Saso Dzeroski, Tomaz Erjavec:
Morphosyntactic Tagging of Slovene Using Progol. 68-79 - Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer:
Experiments in Predicting Biodegradability. 80-91 - Peter A. Flach, Nicolas Lachiche:
IBC: A First-Order Bayesian Classifier. 92-103 - Alan M. Frisch:
Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Programming. 104-115 - José Hernández-Orallo, M. José Ramírez-Quintana:
A Strong Complete Schmema for Inductive Functional Logic Programming. 116-127 - Tamás Horváth, Zoltán Alexin, Tibor Gyimóthy, Stefan Wrobel:
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. 128-139 - Dimitar Kazakov:
Combining LAPIS and WordNet for Learning of LR Parsers with Optimal Semantic Constraints. 140-151 - Dimitar Kazakov, Suresh Manandhar, Tomaz Erjavec:
Learning Word Segmentation Rules for Tag Prediction. 152-161 - Boonserm Kijsirikul, Sukree Sinthupinyo:
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition. 162-173 - Nada Lavrac, Peter A. Flach, Blaz Zupan:
Rule Evaluation Measures: A Unifying View. 174-185 - Nikolaj Lindberg, Martin Eineborg:
Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge. 186-197 - Eric Martin, Arun Sharma:
On Sufficient Conditions for Learnability of Logic Programs from Positive Data. 198-209 - Herman Midelfart:
A Bounded Search Space of Clausal Theories. 210-221 - Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuji Kuboyama, Kenichi Takahashi, Hiroaki Ueda:
Discovering New Knowledge from Graph Data Using Inductive Logic Programming. 222-233 - Stephen H. Muggleton, Michael Bain:
Analogical Prediction. 234-244 - Shan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt:
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. 245-256 - Rupert Parson, Khalid Khan, Stephen H. Muggleton:
Theory Recovery. 257-267 - Jan Ramon, Luc De Raedt:
Instance Based Function Learning. 268-278 - Chiaki Sakama:
Some Properties of Invers Resolution in Normal Logic Programs. 279-290 - Ashwin Srinivasan, Ross D. King, Douglas W. Bristol:
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment. 291-302
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