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» On Computing Functions with Uncertainty
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MICCAI
2008
Springer
16 years 7 months ago
Kinetic Modeling Based Probabilistic Segmentation for Molecular Images
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
ISBI
2008
IEEE
16 years 7 months ago
Increased sensitivity in FMRI group analysis using mixed-effect modeling
In functional Magnetic Resonance Imaging group studies, uncertainties on the individual BOLD responses are not taken into account by standard detection procedures, which may limit...
Merlin Keller, Alexis Roche
ECSQARU
2009
Springer
16 years 1 months ago
The Probabilistic Interpretation of Model-Based Diagnosis
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
Ildikó Flesch, Peter J. F. Lucas
172
Voted
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
16 years 1 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
MEDES
2009
ACM
16 years 1 months ago
Integrated service engineering workbench: service engineering for digital ecosystems
The evolution of service-oriented architectures towards digital ecosystems comprehends a number of challenges. According to Papazoglou et al., one challenge is to develop services...
Gregor Scheithauer, Konrad Voigt, Veli Bicer, Matt...