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ACML
2009
Springer
14 years 2 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
CPHYSICS
2007
126views more  CPHYSICS 2007»
13 years 9 months ago
Adaptive continuation algorithms for computing energy levels of rotating Bose-Einstein condensates
We describe adaptive continuation algorithms for computing energy levels of the Bose–Einstein condensates (BEC) with emphasis on the rotating BEC. We show that the rotating BEC ...
S.-L. Chang, C.-S. Chien
AUTOMATICA
2004
115views more  AUTOMATICA 2004»
13 years 9 months ago
An adaptive algorithm for control of combustion instability
We propose an adaptive algorithm for control of combustion instability suitable for reduction of acoustic pressure oscillations in gas turbine engines, and main burners and augmen...
Andrzej Banaszuk, Kartik B. Ariyur, Miroslav Krsti...
NTMS
2009
IEEE
14 years 4 months ago
An Adaptive Quantization Algorithm for Secret Key Generation Using Radio Channel Measurements
—New approaches that generate secret keys from radio channel characteristics have been recently proposed. The security of these schemes usually relies on the reciprocity principl...
Sana Tmar Ben Hamida, Jean-Benoît Pierrot, C...
JPDC
2006
106views more  JPDC 2006»
13 years 9 months ago
Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Matthias Scheutz, Paul W. Schermerhorn