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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Machine learning Jg. 73; H. 1; S. 55 - 85
Hauptverfasser:	Chen, Jianzhong, Muggleton, Stephen, Santos, José
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.10.2008 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!