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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Vydané v:	Machine learning Ročník 73; číslo 1; s. 55 - 85
Hlavní autori:	Chen, Jianzhong, Muggleton, Stephen, Santos, José
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer US 01.10.2008 Springer Nature B.V
Predmet:	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
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