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» Structure learning of Bayesian networks using constraints
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NIPS
2008
13 years 8 months ago
Goal-directed decision making in prefrontal cortex: a computational framework
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
Matthew Botvinick, James An
FM
2003
Springer
146views Formal Methods» more  FM 2003»
14 years 19 days ago
Interacting State Machines for Mobility
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...
Thomas A. Kuhn, David von Oheimb
DGO
2007
168views Education» more  DGO 2007»
13 years 8 months ago
A distributed event-triggered knowledge sharing system
Government agencies globally are facing problems such as illegal immigration, terrorism, and disease diagnosis and control. Solutions to these problems rely heavily on collaborati...
Seema Degwekar, Jeff DePree, Stanley Y. W. Su, How...
ISMB
1996
13 years 8 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
DCOSS
2011
Springer
12 years 7 months ago
A local average consensus algorithm for wireless sensor networks
—In many application scenarios sensors need to calculate the average of some local values, e.g. of local measurements. A possible solution is to rely on consensus algorithms. In ...
Konstantin Avrachenkov, Mahmoud El Chamie, Giovann...