769 search results - page 24 / 154 » Bayesian Generalized Kernel Models |
KDD
2007
ACM
14 years 11 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
ICIP
2010
IEEE
13 years 9 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
BMCBI
2008
13 years 11 months ago
2008
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
CVPR
1999
IEEE
15 years 28 days ago
1999
IEEE
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
IPPS
2007
IEEE
14 years 5 months ago
2007
IEEE
An innovative technique to model and simulate partial and dynamic reconfigurable processors is presented in this paper. The basis for development is a SystemC kernel modified for ...