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ESANN
2007
13 years 9 months ago
The Intrinsic Recurrent Support Vector Machine
In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
Daniel Schneegaß, Anton Maximilian Schä...
AAAI
2006
13 years 9 months ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
NECO
1998
83views more  NECO 1998»
13 years 7 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
ESANN
2006
13 years 9 months ago
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
Abstract. We present the OnlineDoubleMaxMinOver approach to obtain the Support Vectors in two class classification problems. With its linear time complexity and linear convergence ...
Daniel Schneegaß, Thomas Martinetz, Michael ...
ICPR
2008
IEEE
14 years 2 months ago
Generalized Chebyshev Kernels for Support Vector Classification
In this paper, a method to generalize previously proposed Chebyshev Kernel function is presented for Support Vector Classification in order to obtain more robust and higher classi...
Sedat Ozer, Chi Hau Chen