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» Oblique Support Vector Machines
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ECAI
2004
Springer
15 years 4 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
63
Voted
SGAI
2004
Springer
15 years 4 months ago
Support Vector Machines of Interval-based Features for Time Series Classification
Juan José Rodríguez, Carlos J. Alons...
ICTAI
2003
IEEE
15 years 4 months ago
Feature Selection for Support Vector Machines by Means of Genetic Algorithms
Holger Fröhlich, Olivier Chapelle, Bernhard S...
94
Voted
CISIS
2010
IEEE
15 years 4 months ago
Multiclass Generalized Eigenvalue Proximal Support Vector Machines
Mario Rosario Guarracino, Antonio Irpino, Rosanna ...