Titlebook: Inductive Logic Programming; 28th International C Fabrizio Riguzzi,Elena Bellodi,Riccardo Zese Conference proceedings 2018 Springer Nature

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Tony Ribeiro,Maxime Folschette,Morgan Magnin,Olivier Roux,Katsumi Inoue may become untrue due to changes post-deployment. Our approach identifies specific run-time monitoring requirements for AS based upon a dialectic analysis of the safety case developed for the system. The advantage of the approach described is that it is systematic (through explicit consideration of

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Michael Siebers,Ute Schmidon errors in functions involving rule-based performance and post-completion scenarios, whereas it could be effective in preventing common errors in skill-based and knowledge-based performances. The results provided new insights into the strategies for avoiding coincident faults in N-version programm

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Blaž Škrlj,Jan Kralj,Nada Lavrač many drugs. Addressing these issues has proven more difficult than anticipated and actual progress in patient safety has been frustratingly slow. Reference [.] Root cause analysis of serious adverse events invariably points to problems with communication and orientation as the most important contri

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Céline Hocquette,Stephen Muggleton many drugs. Addressing these issues has proven more difficult than anticipated and actual progress in patient safety has been frustratingly slow. Reference [.] Root cause analysis of serious adverse events invariably points to problems with communication and orientation as the most important contri

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Large-Scale Assessment of Deep Relational Machines,f these shortcomings by testing on datasets from the biochemical domain involving 100s of 1000s of instances; industrial-strength background predicates involving multiple hierarchies of complex definitions; and on classification and regression tasks. Our results provide substantially reliable eviden

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,How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?,t of experimentation for the task of learning regular grammars and agent strategies: our results demonstrate the number of experiments to perform to reach an arbitrary accuracy level can at least be halved.