993 search results - page 5 / 199 » Learning RoboCup-Keepaway with Kernels |
JMLR
2010
14 years 4 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
45
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ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
105
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DSMML
2004
Springer
15 years 3 months ago
2004
Springer
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
MMM
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
106
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...