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» The Kernel Least-Mean-Square Algorithm
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TSP
2012
13 years 5 months ago
Parametrization of Linear Systems Using Diffusion Kernels
—Modeling natural and artificial systems has played a key role in various applications and has long been a task that has drawn enormous efforts. In this work, instead of explori...
Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Isra...
71
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ICML
2008
IEEE
15 years 10 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
ICML
2004
IEEE
15 years 10 months ago
Distribution kernels based on moments of counts
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
Corinna Cortes, Mehryar Mohri
ESA
2009
Springer
131views Algorithms» more  ESA 2009»
15 years 4 months ago
Solving Dominating Set in Larger Classes of Graphs: FPT Algorithms and Polynomial Kernels
Abstract. We show that the k-Dominating Set problem is fixed parameter tractable (FPT) and has a polynomial kernel for any class of
Geevarghese Philip, Venkatesh Raman, Somnath Sikda...
IPL
2011
131views more  IPL 2011»
14 years 4 months ago
The regularized least squares algorithm and the problem of learning halfspaces
We provide sample complexity of the problem of learning halfspaces with monotonic noise, using the regularized least squares algorithm in the reproducing kernel Hilbert spaces (RKH...
Ha Quang Minh