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ORCID22. ILP 2012: Dubrovnik, Croatia
- Fabrizio Riguzzi, Filip Zelezný:
Inductive Logic Programming - 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7842, Springer 2013, ISBN 978-3-642-38811-8 - Solly Brown, Claude Sammut:
A Relational Approach to Tool-Use Learning in Robots. 1-15 - Angelos Charalambidis
, Stasinos Konstantopoulos:
A Refinement Operator for Inducing Threaded-Variable Clauses. 16-31 - Soufiane El Jelali, Agnès Braud, Nicolas Lachiche:
Propositionalisation of Continuous Attributes beyond Simple Aggregation. 32-44 - Tanveer A. Faruquie, Ashwin Srinivasan, Ross D. King:
Topic Models with Relational Features for Drug Design. 45-57 - Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov:
Pairwise Markov Logic. 58-73 - Tiago Gomes, Vítor Santos Costa:
Evaluating Inference Algorithms for the Prolog Factor Language. 74-85 - Takahiro Hino, Yusuke Suzuki, Tomoyuki Uchida, Yuko Itokawa:
Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns. 86-101 - Hassan Khosravi:
Fast Parameter Learning for Markov Logic Networks Using Bayes Nets. 102-115 - Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný:
Bounded Least General Generalization. 116-129 - Dhafer Lahbib, Marc Boullé, Dominique Laurent:
Itemset-Based Variable Construction in Multi-relational Supervised Learning. 130-150 - Francesca Alessandra Lisi:
A Declarative Modeling Language for Concept Learning in Description Logics. 151-165 - Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama, Hirotoshi Iwasaki:
Identifying Driver's Cognitive Load Using Inductive Logic Programming. 166-177 - Bogdan Moldovan, Laura Antanas, McElory Hoffmann:
Opening Doors: An Initial SRL Approach. 178-192 - Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan:
Probing the Space of Optimal Markov Logic Networks for Sequence Labeling. 193-208 - Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan:
What Kinds of Relational Features Are Useful for Statistical Learning? 209-224 - Chiaki Sakama:
Learning Dishonesty. 225-240 - Yoshitaka Yamamoto, Katsumi Inoue, Koji Iwanuma:
Heuristic Inverse Subsumption in Full-Clausal Theories. 241-256 - Yuta Yoshimura, Takayoshi Shoudai:
Learning Unordered Tree Contraction Patterns in Polynomial Time. 257-272
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