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» An Energy Backpropagation Algorithm
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JCC
2007
131views more  JCC 2007»
14 years 9 months ago
An extended dead-end elimination algorithm to determine gap-free lists of low energy states
: Proteins are flexible systems and commonly populate several functionally important states. To understand protein function, these states and their energies have to be identified...
Edda Kloppmann, G. Matthias Ullmann, Torsten Becke...
SWAT
2004
Springer
142views Algorithms» more  SWAT 2004»
15 years 2 months ago
Getting the Best Response for Your Erg
We consider the speed scaling problem of minimizing the average response time of a collection of dynamically released jobs subject to a constraint A on energy used. We propose an ...
Kirk Pruhs, Patchrawat Uthaisombut, Gerhard J. Woe...
85
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ITCC
2005
IEEE
15 years 3 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...
FLAIRS
2004
14 years 11 months ago
Invariance of MLP Training to Input Feature De-correlation
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
Changhua Yu, Michael T. Manry, Jiang Li
ICCAD
2001
IEEE
167views Hardware» more  ICCAD 2001»
15 years 6 months ago
Energy Efficient Real-Time Scheduling
- Real-time scheduling on processors that support dynamic voltage and frequency scaling is analyzed. The Slacked Earliest Deadling First (SEDF) algorithm is proposed and it is show...
Amit Sinha, Anantha Chandrakasan