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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Lectures and Presetations
The qualitative Bayesian: Exploiting qualitative semantics in designing Bayesian network.
Lecturer:
Peter Lucas (Radboud Univ. Nijmegen)
From:
May. 3 2005 2:00PM
To:
May. 3 2005 3:30PM
Place:
ÚTIA AV ČR
Description:
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.
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.
Contact person:
Within the event:
Pravidelný seminář Inteligentní systémy (Contact person: Tomáš Kroupa)