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» Composite kernel learning
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115
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CVPR
2010
IEEE
15 years 10 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
120
Voted
AAAI
2007
15 years 4 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
126
Voted
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...