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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 5 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
CSUR
2000
69views more  CSUR 2000»
13 years 7 months ago
The framework approach for constraint satisfaction
: Constraint satisfaction programming (CSP) is a powerful paradigm for solving complex combinatorial problems, which has gained a lot of attention recently. Putting the power of co...
Pierre Roy, Anne Liret, François Pachet
QCQC
1998
Springer
173views Communications» more  QCQC 1998»
13 years 11 months ago
Quantum Wavelet Transforms: Fast Algorithms and Complete Circuits
The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been shown to be a powerful tool in developing quantum algorithms. However, in classi...
Amir Fijany, Colin P. Williams
MDM
2005
Springer
116views Communications» more  MDM 2005»
14 years 27 days ago
Data dissemination in mobile peer-to-peer networks
In this paper we propose adaptive content-driven routing and data dissemination algorithms for intelligently routing search queries in a peer-to-peer network that supports mobile ...
Thomas Repantis, Vana Kalogeraki
DAC
2005
ACM
14 years 8 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm