2388 search results - page 13 / 478 » Kernel information embeddings |
EUROMICRO
2007
IEEE
15 years 6 months ago
2007
IEEE
JERIC
2002
15 years 3 days ago
2002
95
Voted
ICML
2008
IEEE
16 years 1 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...
101
Voted
CSDA
2008
14 years 12 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
114
click to vote
JMLR
2010
14 years 7 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....