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» Binarized Support Vector Machines
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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 10 months ago
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
Xavier Llorà, Kumara Sastry, David E. Goldb...
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
CISIS
2010
IEEE
15 years 9 months ago
Multiclass Generalized Eigenvalue Proximal Support Vector Machines
Mario Rosario Guarracino, Antonio Irpino, Rosanna ...