May. 3 2005 2:00PM

May. 3 2005 3:30PM

souhrn:
In designing a Bayesian network for biomedical problems, developers need to bridge the gap between the mathematical abstractions offered by the Bayesian-network formalism and the features of the problem to be modelled.
Qualitative probabilistic networks (QPNs) have been put forward as qualitative analogues to Bayesian networks, and allow modelling interactions in terms of qualitative signs. Thus, they have the advantage that developers can abstract from the numerical detail, and therefore the gap may not be as wide as for their quantitative counterparts.
In the talk we explore the role causal independence and QPNs could play in analyzing causal interaction patterns. We discuss a number of qualitative patterns that are endowed with a fixed qualitative semantics, and are intended to offer developers a high-level starting point when developing Bayesian networks. The talk is illustrated by some examples from human biology and medicine.

Pravidelný seminář Inteligentní systémy (Kontaktní osoba: Tomáš Kroupa)