2388 search results - page 13 / 478 » Kernel information embeddings |
83
Voted
EUROMICRO
2007
IEEE
15 years 5 months ago
2007
IEEE
40
Voted
JERIC
2002
14 years 10 months ago
2002
ICML
2008
IEEE
15 years 11 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
14 years 10 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
103
Voted
JMLR
2010
14 years 5 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....