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» Training of Support Vector Machines with Mahalanobis Kernels
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ICML
2004
IEEE
16 years 7 months ago
Distribution kernels based on moments of counts
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...
Corinna Cortes, Mehryar Mohri
BMCBI
2006
158views more  BMCBI 2006»
15 years 6 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
BMCBI
2010
159views more  BMCBI 2010»
15 years 6 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
ICANN
2001
Springer
15 years 10 months ago
Sparse Kernel Regressors
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
Volker Roth