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IJON
2006
71views more  IJON 2006»
13 years 10 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 9 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
EVOW
2008
Springer
14 years 16 days ago
Architecture Performance Prediction Using Evolutionary Artificial Neural Networks
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
VLSID
2001
IEEE
184views VLSI» more  VLSID 2001»
14 years 11 months ago
Battery Life Estimation of Mobile Embedded Systems
Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy d...
Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kani...
RECOMB
2008
Springer
14 years 11 months ago
Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...
Jotun Hein, Rune B. Lyngsø, Yun S. Song