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165
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BMCBI
2006
181views more  BMCBI 2006»
15 years 5 months ago
Array2BIO: from microarray expression data to functional annotation of co-regulated genes
Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of A...
Gabriela G. Loots, Patrick S. G. Chain, Shalini Ma...
INTEGRATION
2000
71views more  INTEGRATION 2000»
15 years 5 months ago
A hardware implementation of realloc function
The memory intensive nature of object-oriented languages such as C++ and Java has created the need of a high-performance dynamic memory management. Objectoriented applications oft...
Witawas Srisa-an, Chia-Tien Dan Lo, J. Morris Chan...
137
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FCS
2006
15 years 6 months ago
Principles of Optimal Probabilistic Decision Tree Construction
Probabilistic (or randomized) decision trees can be used to compute Boolean functions. We consider two types of probabilistic decision trees - one has a certain probability to give...
Laura Mancinska, Maris Ozols, Ilze Dzelme-Berzina,...
DATE
2007
IEEE
109views Hardware» more  DATE 2007»
15 years 11 months ago
Area optimization of multi-cycle operators in high-level synthesis
Conventional high-level synthesis algorithms usually employ multi-cycle operators to reduce the cycle length in order to improve the circuit performance. These operators need seve...
María C. Molina, Rafael Ruiz-Sautua, Jose M...
ISNN
2010
Springer
15 years 3 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He