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» Composite kernel learning
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CVPR
2010
IEEE
15 years 11 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
AAAI
2007
15 years 5 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
ICML
2004
IEEE
16 years 3 months ago
Extensions of marginalized graph kernels
Jean-Luc Perret, Jean-Philippe Vert, Nobuhisa Ueda...
ICML
2001
IEEE
16 years 3 months ago
Latent Semantic Kernels
Nello Cristianini, John Shawe-Taylor, Huma Lodhi
131
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JMLR
2006
156views more  JMLR 2006»
15 years 2 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...