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BMCBI
2010
182views more  BMCBI 2010»
14 years 10 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
AINA
2007
IEEE
15 years 4 months ago
Detecting Coordinated Distributed Multiple Attacks
This paper describes results concerning the robustness and generalization capabilities of kernel methods in detecting coordinated distributed multiple attacks (CDMA) using network...
Srinivas Mukkamala, Krishna Yendrapalli, Ram B. Ba...
IEEEPACT
2007
IEEE
15 years 4 months ago
Fast Track: Supporting Unsafe Optimizations with Software Speculation
The use of multi-core, multi-processor machines is opening new opportunities for software speculation, where program code is speculatively executed to improve performance at the a...
Kirk Kelsey, Chengliang Zhang, Chen Ding
ICANN
2005
Springer
15 years 3 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
IJCNN
2006
IEEE
15 years 4 months ago
Sparse Optimization for Second Order Kernel Methods
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
Roland Vollgraf, Klaus Obermayer