Learning probabilistic logic models from probabilistic examples

We revisit an application developed originally using abductive Inductive Logic Programming (ILP) for modeling inhibition in metabolic networks. The example data was derived from studies of the effects of toxins on rats using Nuclear Magnetic Resonance (NMR) time-trace analysis of their biofluids tog...

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Bibliographic Details

Published in:	Machine learning Vol. 73; no. 1; pp. 55 - 85
Main Authors:	Chen, Jianzhong, Muggleton, Stephen, Santos, José
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.10.2008 Springer Nature B.V
Subjects:	Artificial Intelligence Computer Science Control Logic programming Mechatronics Natural Language Processing (NLP) Probability Robotics Simulation and Modeling Probabilistic inductive logic programming Stochastic logic programs Abduction Probabilistic examples
ISSN:	0885-6125, 1573-0565
Online Access:	Get full text
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