1403 search results - page 49 / 281 » Sampling Techniques for Kernel Methods |
RT
2005
Springer
15 years 3 months ago
2005
Springer
This paper develops importance resampling into a variance reduction technique for Monte Carlo integration. Importance resampling is a sample generation technique that can be used ...
AAAI
2007
15 years 4 days ago
2007
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 Reprod...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...