Inductive Logic Programming

Chapter 1 Relational Affordance Learning for Task-Dependent Robot Grasping

Chapter 2 Positive and Unlabeled Relational Classification Through Label Frequency Estimation

Chapter 3 On Applying Probabilistic Logic Programming to Breast Cancer Data

Chapter 4 Logical Vision: One-Shot Meta-Interpretive Learning from Real Images

Chapter 5 Demystifying Relational Latent Representations

Chapter 6 Parallel Online Learning of Event Definitions

Chapter 7 Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach

Chapter 9 Inductive Learning from State Transitions over Continuous Domains

Chapter 10 Stacked Structure Learning for Lifted Relational Neural Networks

Chapter 11 Pruning Hypothesis Spaces Using Learned Domain Theories

Chapter 12 An Investigation into the Role of Domain-Knowledge on the Use of Embeddings