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EKAW
2004
Springer
14 years 3 months ago
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks
Among the various tasks involved in building a Bayesian network for a real-life application, the task of eliciting all probabilities required is generally considered the most daunt...
Eveline M. Helsper, Linda C. van der Gaag, Floris ...
AIMDM
1999
Springer
14 years 2 months ago
Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach
Knowledge representation has always been a major problem in the design of medical decision support systems. In this paper we present a new methodology to represent and reason about...
Jorge Cruz, Pedro Barahona, Frédéric...
WSC
2008
14 years 19 days ago
A rate result for simulation optimization with conditional value-at-risk constraints
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
Soumyadip Ghosh
ECAI
2008
Springer
14 years 3 days ago
Structure segmentation and recognition in images guided by structural constraint propagation
In some application domains, such as medical imaging, the objects that compose the scene are known as well as some of their properties and their spatial arrangement. We can take ad...
Olivier Nempont, Jamal Atif, Elsa D. Angelini, Isa...
IJON
2008
116views more  IJON 2008»
13 years 10 months ago
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
Paul D. O'Grady, Barak A. Pearlmutter