48 search results - page 9 / 10 » Quantile Regression Forests |
NN
2006
Springer
13 years 7 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
FLAIRS
2006
13 years 9 months ago
2006
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
BMCBI
2004
13 years 7 months ago
2004
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
AAAI
2010
13 years 7 months ago
2010
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...