图书简介

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.

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