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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
VLSID
2007
IEEE
97views VLSI» more  VLSID 2007»
14 years 2 months ago
Embedded Support Vector Machine : Architectural Enhancements and Evaluation
In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent e...
Soumyajit Dey, Monu Kedia, Niket Agarwal, Anupam B...
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 9 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
IJCNN
2007
IEEE
14 years 2 months ago
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications
— We present here a hardware–friendly version of the Support Vector Machine (SVM), which is useful to implement its feed–forward phase on limited–resources devices such as ...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
AC
2001
Springer
14 years 7 days ago
Support Vector Machines: Theory and Applications
This paper presents a summary of the issues discussed during the one day workshop on "Support Vector Machines (SVM) Theory and Applications" organized as part of the Adv...
Theodoros Evgeniou, Massimiliano Pontil