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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 3 months ago
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
Q. Tuan Pham
DICTA
2008
13 years 11 months ago
GPU Accelerated Multimodal Background Subtraction
Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorit...
Peter Carr
IEEEICCI
2009
IEEE
14 years 4 months ago
An attribute reduction approach and its accelerated version for hybrid data
In practical issues, categorical data and numerical data usually coexist, and a unified data reduction technique for hybrid data is desirable. In this paper, an information measu...
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
SBIA
2004
Springer
14 years 3 months ago
Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algori...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
VLSISP
2010
119views more  VLSISP 2010»
13 years 4 months ago
Hardware Acceleration of HMMER on FPGAs
We propose a new parallelization scheme for the hmmsearch function of the HMMER software, in order to target FPGA technology. hmmsearch is a very compute intensive software for bio...
Steven Derrien, Patrice Quinton