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» Learning with Idealized Kernels
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AAAI
2007
14 years 5 days 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
14 years 10 months ago
Extensions of marginalized graph kernels
Jean-Luc Perret, Jean-Philippe Vert, Nobuhisa Ueda...
ICML
2001
IEEE
14 years 10 months ago
Latent Semantic Kernels
Nello Cristianini, John Shawe-Taylor, Huma Lodhi
JMLR
2006
156views more  JMLR 2006»
13 years 9 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...
ICASSP
2008
IEEE
14 years 4 months ago
Multiple kernel learning for speaker verification
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM classifiers, an alternative strategy is to combine...
Chris Longworth, Mark J. F. Gales