Browsing by Subject "Kernel functions."
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Incremental kernel learning algorithms and applications.
(2006)Since the Support Vector Machines (SVMs) were introduced in 1995, SVMs have been recognized as essential tools for pattern classification and function approximation. Numerous publications show that SVMs outperform other ... -
Learning from data with uncertainty: Robust multiclass kernel-based classifiers and regressors.
(2005)Motivated by the presence of uncertainty in real data, in this research we investigate a robust optimization approach applied to multiclass support vector machines (SVMs) and support vector regression. Two new kernel ... -
Optimization issues in data analysis: An analytic center approach to kernel methods.
(2001)Support vector machines have recently attracted much attention in the machine learning and optimization communities for their remarkable generalization ability. The support vector machine solution corresponds to the center ...