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- Max Planck SocietyDE3 papers
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- Barcelona Institute of Science and TechnologyES1 paper
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- European Molecular Biology LaboratoryDE1 paper
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stat.ML2011★ 32 cited
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
We derive an upper bound on the local Rademacher complexity of -norm multiple kernel learning, which yields a tighter excess risk bound than global approaches. Previous loc…
stat.ML2009
The Feature Importance Ranking Measure
Alexander Zien, Nicole Kraemer, Soeren Sonnenburg +1
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access…