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» Combining and selecting characteristics of information use
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BMCBI
2006
201views more  BMCBI 2006»
15 years 6 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
WEBI
2010
Springer
15 years 4 months ago
A Scalable Indexing Mechanism for Ontology-Based Information Integration
In recent years, there has been an explosion of publicly available RDF and OWL web pages. Some of these pages are static text files, while others are dynamically generated from la...
Yingjie Li, Abir Qasem, Jeff Heflin
JUCS
2008
130views more  JUCS 2008»
15 years 6 months ago
Experimenting the Automated Selection of COTS Components Based on Cost and System Requirements
: In a component-based development process the selection of components is an activity that takes place over multiple lifecycle phases that span from requirement specifications thro...
Vittorio Cortellessa, Ivica Crnkovic, Fabrizio Mar...
BMCBI
2011
15 years 25 days ago
SNPPicker: High quality tag SNP selection across multiple populations
Background: Linkage Disequilibrium (LD) bin-tagging algorithms identify a reduced set of tag SNPs that can capture the genetic variation in a population without genotyping every s...
Hugues Sicotte, David N. Rider, Gregory A. Poland,...
IJAMCIGI
2010
90views more  IJAMCIGI 2010»
15 years 3 months ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...