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ATAL
2010
Springer
15 years 7 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
HPDC
2010
IEEE
15 years 7 months ago
Modeling sequence and function similarity between proteins for protein functional annotation
A common task in biological research is to predict function for proteins by comparing sequences between proteins of known and unknown function. This is often done using pair-wise ...
Roger Higdon, Brenton Louie, Eugene Kolker
MOBICOM
2010
ACM
15 years 6 months ago
Bartendr: a practical approach to energy-aware cellular data scheduling
Cellular radios consume more power and suffer reduced data rate when the signal is weak. According to our measurements, the communication energy per bit can be as much as 6x highe...
Aaron Schulman, Vishnu Navda, Ramachandran Ramjee,...
BMCBI
2010
116views more  BMCBI 2010»
15 years 6 months ago
Optimization algorithms for functional deimmunization of therapeutic proteins
Background: To develop protein therapeutics from exogenous sources, it is necessary to mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the ...
Andrew S. Parker, Wei Zheng, Karl E. Griswold, Chr...
CORR
2010
Springer
209views Education» more  CORR 2010»
15 years 6 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam