Relational Affordance Learning for Task-dependent Robot Grasping
Positive and Unlabeled Relational Classification Through Label Frequency Estimation
On Applying Probabilistic Logic Programming to Breast Cancer Data
Logical Vision: One-Shot Meta-Interpretive Learning from Real Images
Demystifying Relational Latent Representations
Parallel Online Learning of Event Definitions
Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach
Parallel Inductive Logic Programming System for Super-linear Speedup
Inductive Learning from State Transitions over Continuous Domains
Stacked Structure Learning for Lifted Relational Neural Networks
Pruning Hypothesis Spaces Using Learned Domain Theories
An Investigation into the Role of Domain-knowledge on the Use of Embeddings.