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» Using Machine Learning to Focus Iterative Optimization
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PROMISE
2010
14 years 9 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
121
Voted
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 8 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
CGO
2010
IEEE
15 years 16 days ago
On improving heap memory layout by dynamic pool allocation
Dynamic memory allocation is widely used in modern programs. General-purpose heap allocators often focus more on reducing their run-time overhead and memory space utilization, but...
Zhenjiang Wang, Chenggang Wu, Pen-Chung Yew
BMCBI
2007
173views more  BMCBI 2007»
15 years 2 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...