19 search results - page 3 / 4 » Injective Hilbert Space Embeddings of Probability Measures |
KI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
FOCS
2004
IEEE
13 years 8 months ago
2004
IEEE
We devise a new embedding technique, which we call measured descent, based on decomposing a metric space locally, at varying speeds, according to the density of some probability m...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
ORL
2010
12 years 11 months ago
2010
Rationing is an inventory policy that allows prioritization of demand classes. It enables the inventory system to provide higher service levels for critical demand classes. In thi...
COMPGEOM
2011
ACM
12 years 8 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...