PROBABILISTIC DECISION GRAPHS — COMBINING VERIFICATION AND AI TECHNIQUES FOR PROBABILISTIC INFERENCE

DOI10.1142/S0218488504002564zbMath1087.68111OpenAlexW2124431017MaRDI QIDQ5696976

Manfred Jaeger

Publication date: 19 October 2005

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488504002564

zbMATH Keywords

Bayesian networks

Mathematics Subject Classification ID

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

Related Items (14)

Learning recursive probability trees from probabilistic potentials ⋮ Mixed deterministic and probabilistic networks ⋮ Reachability analysis of uncertain systems using bounded-parameter Markov decision processes ⋮ Weighted positive binary decision diagrams for exact probabilistic inference ⋮ Modelling and inference with conditional Gaussian probabilistic decision graphs ⋮ Case-factor diagrams for structured probabilistic modeling ⋮ Supervised classification using probabilistic decision graphs ⋮ Learning probabilistic decision graphs ⋮ Structural-EM for learning PDG models from incomplete data ⋮ Conditional independence and chain event graphs ⋮ Causal discovery through MAP selection of stratified chain event graphs ⋮ Context-specific graphical models for discrete longitudinal data ⋮ A compositional approach to probabilistic knowledge compilation ⋮ Refining a Bayesian network using a chain event graph

Cites Work

• Probabilistic Networks and Expert Systems
• Unnamed Item

This page was built for publication: PROBABILISTIC DECISION GRAPHS — COMBINING VERIFICATION AND AI TECHNIQUES FOR PROBABILISTIC INFERENCE