ILP B

19 papers

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