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PPSC
1989
15 years 6 months ago
Evaluating Block Algorithm Variants in LAPACK
The LAPACK software project currently under development is intended to provide a portable linear algebra library for high performance computers. LAPACK will make use of the Level 1...
Ed Anderson, Jack Dongarra
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 5 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
166
Voted
BMCBI
2006
201views more  BMCBI 2006»
15 years 5 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
167
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 5 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
BMCBI
2007
145views more  BMCBI 2007»
15 years 4 months ago
The utility of MAS5 expression summary and detection call algorithms
Background: Used alone, the MAS5.0 algorithm for generating expression summaries has been criticized for high False Positive rates resulting from exaggerated variance at low inten...
Stuart D. Pepper, Emma K. Saunders, Laura E. Edwar...