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10 papers · 2 filters
From Qualitative to Quantitative Probabilistic Networks
Silja Renooij, Linda C. van der Gaag
Quantification is well known to be a major obstacle in the construction of a probabilistic network, especially when relying on human experts for this purpose. The construction of a…
Upgrading Ambiguous Signs in QPNs
Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
WA qualitative probabilistic network models the probabilistic relationships between its variables by means of signs. Non-monotonic influences have associated an ambiguous sign. The…
Evidence-invariant Sensitivity Bounds
Silja Renooij, Linda C. van der Gaag
The sensitivities revealed by a sensitivity analysis of a probabilistic network typically depend on the entered evidence. For a real-life network therefore, the analysis is perform…
Monotonicity in Bayesian Networks
Linda C. van der Gaag, Hans L. Bodlaender, Ad Feelders
For many real-life Bayesian networks, common knowledge dictates that the output established for the main variable of interest increases with higher values for the observable variab…
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences
Ad Feelders, Linda C. van der Gaag
We present a method for learning the parameters of a Bayesian network with prior knowledge about the signs of influences between variables. Our method accommodates not just the sta…
Exploiting Evidence-dependent Sensitivity Bounds
Silja Renooij, Linda C. van der Gaag
Studying the effects of one-way variation of any number of parameters on any number of output probabilities quickly becomes infeasible in practice, especially if various evidence p…