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ECAI
2004
Springer
15 years 10 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
117
Voted
PDCAT
2004
Springer
15 years 10 months ago
Novel Impostors Detection in Keystroke Dynamics by Support Vector Machine
Yingpeng Sang, Hong Shen, Pingzhi Fan
100
Voted
ICTAI
2003
IEEE
15 years 10 months ago
Feature Selection for Support Vector Machines by Means of Genetic Algorithms
Holger Fröhlich, Olivier Chapelle, Bernhard S...
CISIS
2010
IEEE
15 years 10 months ago
Multiclass Generalized Eigenvalue Proximal Support Vector Machines
Mario Rosario Guarracino, Antonio Irpino, Rosanna ...