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» Gender Classification Using Support Vector Machines
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NIPS
2004
15 years 3 months ago
Density Level Detection is Classification
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...
Ingo Steinwart, Don R. Hush, Clint Scovel
ISBI
2004
IEEE
16 years 3 months ago
Population Classification Based on Structural Morphometry of Cortical Sulci
This paper describes a classification system discriminating male and female brains from morphometric features of cortical sulci. This system is tested on a database of 143 brains,...
Edouard Duchesnay, Jean-Francois Mangin, Alexis Ro...
162
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CHI
2008
ACM
15 years 3 months ago
Testing vs. code inspection vs. what else?: male and female end users' debugging strategies
Little is known about the strategies end-user programmers use in debugging their programs, and even less is known about gender differences that may exist in these strategies. With...
Neeraja Subrahmaniyan, Laura Beckwith, Valentina G...
109
Voted
BMCBI
2008
116views more  BMCBI 2008»
15 years 2 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...