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» Modelling and Using Imperfect Context Information
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NIPS
2000
15 years 4 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
DAGM
2003
Springer
15 years 8 months ago
A Computational Model of Early Auditory-Visual Integration
We introduce a computational model of sensor fusion based on the topographic representations of a ”two-microphone and one camera” configuration. Our aim is to perform a robust...
Carsten Schauer, Horst-Michael Gross
151
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SACMAT
2006
ACM
15 years 9 months ago
The secondary and approximate authorization model and its application to Bell-LaPadula policies
We introduce the concept, model, and policy-specific algorithms for inferring new access control decisions from previous ones. Our secondary and approximate authorization model (...
Jason Crampton, Wing Leung, Konstantin Beznosov
DGO
2009
175views Education» more  DGO 2009»
15 years 4 months ago
Modelling task delegation for human-centric eGovernment workflows
The execution of cross-domain eGovernment applications is a challenging topic. eGovernment organisations are facilitated and conducted using workflow management systems. Workflows...
Khaled Gaaloul, François Charoy, Andreas Sc...
ATAL
2008
Springer
15 years 5 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp