19 search results - page 1 / 4 » Injective Hilbert Space Embeddings of Probability Measures |
COLT
2008
Springer
13 years 6 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
JMLR
2010
12 years 11 months ago
2010
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
JMLR
2010
12 years 11 months ago
2010
Universal kernels have been shown to play an important role in the achievability of the Bayes risk by many kernel-based algorithms that include binary classification, regression, ...
DIS
2007
Springer
13 years 10 months ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
NIPS
2008
13 years 6 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...