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» Comparative analysis of genetic algorithm implementations
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BIBE
2003
IEEE
128views Bioinformatics» more  BIBE 2003»
14 years 1 months ago
A Repulsive Clustering Algorithm for Gene Expression Data
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...
Chyun-Shin Cheng, Shiuan-Sz Wang
CEC
2005
IEEE
14 years 1 months ago
ICARUS: intelligent coupon allocation for retailers using search
Many retailers run loyalty card schemes for their customers offering incentives in the form of money off coupons. The total value of the coupons depends on how much the customer ha...
Stephen Swift, Amy Shi, Jason Crampton, Allan Tuck...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
CASC
2011
Springer
262views Mathematics» more  CASC 2011»
12 years 7 months ago
Practical Divide-and-Conquer Algorithms for Polynomial Arithmetic
We investigate two practical divide-and-conquer style algorithms for univariate polynomial arithmetic. First we revisit an algorithm originally described by Brent and Kung for comp...
William Hart, Andrew Novocin
BMCBI
2008
77views more  BMCBI 2008»
13 years 7 months ago
SeqAn An efficient, generic C++ library for sequence analysis
Background: The use of novel algorithmic techniques is pivotal to many important problems in life science. For example the sequencing of the human genome [1] would not have been p...
Andreas Döring, David Weese, Tobias Rausch, K...