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IEEEICCI
2009
IEEE
15 years 8 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
15 years 6 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»
14 years 8 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
GECCO
2010
Springer
148views Optimization» more  GECCO 2010»
15 years 6 months ago
Guarding against premature convergence while accelerating evolutionary search
The fundamental dichotomy in evolutionary algorithms is that between exploration and exploitation. Recently, several algorithms [8, 9, 14, 16, 17, 20] have been introduced that gu...
Josh C. Bongard, Gregory S. Hornby
ARC
2007
Springer
102views Hardware» more  ARC 2007»
15 years 5 months ago
Reconfigurable Hardware Acceleration of Canonical Graph Labelling
Many important algorithms in computational biology and related subjects rely on the ability to extract and to identify sub-graphs of larger graphs; an example is to find common fun...
David B. Thomas, Wayne Luk, Michael Stumpf