15 citations · 32 across the 10 of their papers we have counts for
4 papers · 1 filter
Speeding up approximate MAP by applying domain knowledge about relevant variables
Johan Kwisthout, Andrew Schroeder
The MAP problem in Bayesian networks is notoriously intractable, even when approximated. In an earlier paper we introduced the Most Frugal Explanation heuristic approach to solving…
Bayesian Integration of Information Using Top-Down Modulated WTA Networks
Otto van der Himst, Leila Bagheriye, Johan Kwisthout
Winner Take All (WTA) circuits a type of Spiking Neural Networks (SNN) have been suggested as facilitating the brain's ability to process information in a Bayesian manner. Research…
Motivating explanations in Bayesian networks using MAP-independence
Johan Kwisthout
In decision support systems the motivation and justification of the system's diagnosis or classification is crucial for the acceptance of the system by the human user. In Bayesian…
The Computational Complexity of Sensitivity Analysis and Parameter Tuning
Johan Kwisthout, Linda C. van der Gaag
While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact computa…