An intercausal cancellation model for Bayesian-network engineering

DOI10.1016/j.ijar.2015.05.011zbMath1346.68210OpenAlexW627421446MaRDI QIDQ899132

Carin M. A. Rademaker, S. P. D. Woudenberg, Linda C. van der Gaag

Publication date: 21 December 2015

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2015.05.011

zbMATH Keywords

Bayesian networkspharmacologycausal interactionintercausal cancellationknowledge modelling

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

Learning tractable NAT-modeled Bayesian networks ⋮ Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks ⋮ The extended recursive noisy or model: static and dynamic considerations

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• Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates

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