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ORCID19th ILP 2009: Leuven, Belgium
- Luc De Raedt
:
Inductive Logic Programming, 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers. Lecture Notes in Computer Science 5989, Springer 2010, ISBN 978-3-642-13839-3 - Kamal Ali, Kevin Leung, Tolga Könik, Dongkyu Choi, Daniel G. Shapiro:
Knowledge-Directed Theory Revision. 1-8 - Anton Dries, Luc De Raedt:
Towards Clausal Discovery for Stream Mining. 9-16 - Daan Fierens:
On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics. 17-24 - Joris J. M. Gillis, Jan Van den Bussche:
Induction of Relational Algebra Expressions. 25-33 - Tamás Horváth, Gerhard Paass, Frank Reichartz, Stefan Wrobel:
A Logic-Based Approach to Relation Extraction from Texts. 34-48 - Katsumi Inoue, Koichi Furukawa, Ikuo Kobayashi, Hidetomo Nabeshima:
Discovering Rules by Meta-level Abduction. 49-64 - Tolga Könik, Negin Nejati, Ugur Kuter:
Inductive Generalization of Analytically Learned Goal Hierarchies. 65-72 - Jens Lehmann, Christoph Haase:
Ideal Downward Refinement in the EL Description Logic. 73-87 - Francesca A. Lisi, Floriana Esposito:
Nonmonotonic Onto-Relational Learning. 88-95 - Wannes Meert, Jan Struyf, Hendrik Blockeel:
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. 96-109 - Lilyana Mihalkova, Matthew Richardson:
Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. 110-122 - Stephen H. Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha:
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. 123-130 - Stephen H. Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad:
ProGolem: A System Based on Relative Minimal Generalisation. 131-148 - Houssam Nassif, Hassan Al-Ali, Sawsan Khuri, Walid Keirouz, David Page:
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. 149-165 - Louis Oliphant, Elizabeth S. Burnside, Jude W. Shavlik:
Boosting First-Order Clauses for Large, Skewed Data Sets. 166-177 - Anup Patel, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages. 178-185 - Scott Proper, Prasad Tadepalli:
Transfer Learning via Relational Templates. 186-193 - Oliver Ray, Ken E. Whelan, Ross D. King:
Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data. 194-201 - Lothar Richter, Regina Augustin, Stefan Kramer:
Finding Relational Associations in HIV Resistance Mutation Data. 202-208 - Hannes Schulz, Kristian Kersting, Andreas Karwath:
ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. 209-216 - Ashwin Srinivasan, Ganesh Ramakrishnan:
Parameter Screening and Optimisation for ILP Using Designed Experiments. 217-225 - Ingo Thon:
Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models. 226-233 - Lisa Torrey, Jude W. Shavlik:
Policy Transfer via Markov Logic Networks. 234-248 - Hiroaki Watanabe, Stephen H. Muggleton:
Can ILP Be Applied to Large Datasets? 249-256
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