203 search results - page 22 / 41 » Hierarchical Gaussian Process Regression |
120
Voted
ESANN
2003
2003
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
15 years 4 months ago
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
118
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
109
Voted
RSS
2007
15 years 4 months ago
2007
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
114
Voted
ICWSM
2009
15 years 1 months ago
2009
In this paper we present a regression-based machine learning approach to email thread summarization. The regression model is able to take advantage of multiple gold-standard annot...
157
Voted
UAI
2003
15 years 4 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...