2388 search results - page 13 / 478 » Kernel information embeddings |
68
Voted
JERIC
2002
15 years 3 months ago
2002
126
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
128
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CSDA
2008
15 years 3 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
151
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JMLR
2010
14 years 10 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....