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JMLR
2010
13 years 24 days ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
GFKL
2007
Springer
13 years 10 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...