769 search results - page 5 / 154 » Bayesian Generalized Kernel Models |
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
NN
2008
Springer
13 years 9 months ago
2008
Springer
KDD
2000
ACM
14 years 1 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
CSDA
2006
13 years 9 months ago
2006
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...