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- Johan Kwisthout
- Int. J. Approx. Reasoning
- 2011

One of the key computational problems in Bayesian networks is computing the maximal posterior probability of a set of variables in the network, given an observation of the values of another set ofâ€¦ (More)

- Johan Kwisthout
- 2011

The Inference problem in probabilistic or Bayesian networksâ€”given a probabilistic network and a joint value assignment to a subset of its variables, compute the posterior probability of thatâ€¦ (More)

- Johan Kwisthout
- J. Artif. Intell. Res.
- 2015

The problem of finding the most probable explanation to a designated set of variables given partial evidence (the MAP problem) is a notoriously intractable problem in Bayesian networks, both toâ€¦ (More)

- Johan Kwisthout, Todd Wareham, Iris van Rooij
- Cognitive Science
- 2011

- Johan Kwisthout, Harold Bekkering, Iris A L M van Rooij
- Brain and cognition
- 2017

Many theoretical and empirical contributions to the Predictive Processing account emphasize the important role of precision modulation of prediction errors. Recently it has been proposed that theâ€¦ (More)

- Mark Blokpoel, Johan Kwisthout, Iris A L M van Rooij
- Front. Psychology
- 2012

tive coding framework does not yet make stringent commitments as to the nature of the causal models that the brain can represent. Hence, contrary to suggestions by Clark (in press), the frameworkâ€¦ (More)

- Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
- SOFSEM
- 2011

In modern decision-support systems, probabilistic networks model uncertainty by a directed acyclic graph quantified by probabilities. Two closely related problems on these networks are the Kth MPEâ€¦ (More)

- Johan Kwisthout, Gerard Tel
- Probabilistic Graphical Models
- 2006

M. Druzdzel and M. Henrion (1993). Belief Propagation in Qualitative Probabilistic Networks. In N. Piera Carrete and M.G. Singh, editors, Qualitative Reasoning and Decision Technologies, CIMNE:â€¦ (More)

- Sarit Pink-Hashkes, Iris van Rooij, Johan Kwisthout
- CogSci
- 2017

Psychedelic substances are used for clinical applications (e.g., treatment of addictions, anxiety and depression) as well as an investigative tool in neuroscientific research. Recently it has beenâ€¦ (More)

- Johan Kwisthout
- FCT
- 2007

Many computational problems related to probabilistic networks are complete for complexity classes that have few â€™real worldâ€™ complete problems. For example, the decision variant of the inferenceâ€¦ (More)