Relational Affordance Learning for Task-Dependent Robot Grasping
Laura Antanas, Anton Dries, Plinio Moreno, and Luc De Raedt

Positive and Unlabeled Relational Classification Through Label Frequency Estimation
Jessa Bekker and Jesse Davis

On Applying Probabilistic Logic Programming to Breast Cancer Data
Joana C?rte-Real, In?s Dutra, and Ricardo Rocha

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images
Wang-Zhou Dai, Stephen Muggleton, Jing Wen,

Alireza Tamaddoni-Nezhad, and Zhi-Hua Zhou Demystifying Relational Latent Representations
Sebastijan Duman?i? and Hendrik Blockeel

Parallel Online Learning of Event Definitions
Nikos Katzouris, Alexander Artikis, and Georgios Paliouras

Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach
Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, and Sriraam Natarajan

Parallel Inductive Logic Programming System for Superlinear Speedup
Hiroyuki Nishiyama and Hayato Ohwada

Inductive Learning from State Transitions over Continuous Domains
Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier Roux, and Katsumi Inoue

Stacked Structure Learning for Lifted Relational Neural Networks
Gustav ?ourek, Martin Svato?, Filip ?elezn?, Steven Schockaert, and Ond?ej Ku?elka

Pruning Hypothesis Spaces Using Learned Domain Theories
Martin Svato?, Gustav ?ourek, Filip ?elezn?, Steven Schockaert, and Ond?ej Ku?elka

An Investigation into the Role of Domain-Knowledge on the Use of Embeddings
Lovekesh Vig, Ashwin Srinivasan, Michael Bain, and Ankit Verma

Author Index