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BMCBI
2006
146views more  BMCBI 2006»
13 years 10 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 3 months ago
Web image clustering by consistent utilization of visual features and surrounding texts
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...
BMCBI
2008
219views more  BMCBI 2008»
13 years 10 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
TSE
2010
197views more  TSE 2010»
13 years 4 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
TIP
2008
261views more  TIP 2008»
13 years 10 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan