Increased robustness of Bayesian networks through probability intervals

DOI10.1016/S0888-613X(96)00138-7zbMath0939.68117OpenAlexW2306994135MaRDI QIDQ1809369

Helmut Thöne, Werner Kießling, Ulrich Güntzer

Publication date: 20 December 1999

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

Full work available at URL: https://doi.org/10.1016/s0888-613x(96)00138-7

zbMATH Keywords

Bayesian networksprobability intervals

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (3)

Graphical models for imprecise probabilities ⋮ Inference in credal networks: Branch-and-bound methods and the A/R+ algorithm ⋮ The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference

Uses Software

• NESTOR

Cites Work

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• Addendum to ``Bayesian and non-Bayesian evidential updating
• Interval probability propagation
• On cautious probabilistic inference and default detachment

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