45 search results - page 3 / 9 » Using the Equivalent Kernel to Understand Gaussian Process R... |
ESSMAC
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
JMLR
2006
13 years 5 months ago
2006
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
NIPS
2008
13 years 6 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
ICDM
2009
IEEE
13 years 12 months ago
2009
IEEE
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...