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» Gender Classification with Support Vector Machines
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ICML
2007
IEEE
14 years 8 months ago
Hybrid huberized support vector machines for microarray classification
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
Li Wang, Ji Zhu, Hui Zou
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 8 months ago
Research on Classification of Printing Fault Using Support Vector Machines
: For the characteristics of malfunction diagnose system a model to classify fault printing based on support vector machines is discussed. The printing malfunctions have many class...
Ye-Li Li, Ya-Li Qi
DSD
2004
IEEE
106views Hardware» more  DSD 2004»
13 years 11 months ago
Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems
In this paper we present an analysis of the minimal hardware precision required to implement Support Vector Machine (SVM) classification within a Logarithmic Number System archite...
Faisal M. Khan, Mark G. Arnold, William M. Potteng...
AVBPA
2001
Springer
128views Biometrics» more  AVBPA 2001»
13 years 11 months ago
Fingerprint Classification with Combinations of Support Vector Machines
Abstract. We report about some experiments on the fingerprint database NIST-4 using different combinations of Support Vector Machine (SVM) classifiers. Images have been preprocesse...
Yuan Yao, Paolo Frasconi, Massimiliano Pontil
DMIN
2009
132views Data Mining» more  DMIN 2009»
13 years 5 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...