2388 search results - page 13 / 478 » Kernel information embeddings |
EUROMICRO
2007
IEEE
14 years 1 months ago
2007
IEEE
JERIC
2002
13 years 7 months ago
2002
ICML
2008
IEEE
14 years 8 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...
CSDA
2008
13 years 7 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
JMLR
2010
13 years 2 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....