Vítor Santos Costa

Abstract: This book constitutes the thoroughly refereed post-proceedings of the 23rd International Conference on Inductive Logic Programming, ILP 2013, held in Rio de Janeiro, Brazil, in August 2013. The 9 revised extended papers were carefully reviewed and selected from 42 submissions. The conference now focuses on all aspects of learning in logic, multi-relational learning and data mining, statistical relational learning, graph and tree mining, relational reinforcement learning, and other forms of learning from structured data.

TL;DR: Stem cell biology, tissue engineering, bioinformatics, and machine learning were combined to implement an in vitro human cellular model for developmental neurotoxicity screening and demonstrated the value of human cell-based assays for predictive toxicology and should be useful for both drug and chemical safety assessment.

TL;DR: Algorithms that allow the efficient execution of queries in ProbLog are introduced, their implementation on top of the YAP-Prolog system is discussed, and their performance in the context of large networks of biological entities is evaluated.

TL;DR: Yet Another Prolog (YAP) as mentioned in this paper is a Prolog system originally developed in the mid-eighties and that has been under almost constant development since then, focusing on three important contributions to the Logic Programming community.

TL;DR: This work gives an overview of the main problems in the implementation of Andorra-I: the design of its engine and of the preprocessor that generates code to recognise determinate goals, and presents performance data for the implementation.