42 search results - page 6 / 9 » Bayesian projection approaches to variable selection in gene... |
TSP
2010
13 years 5 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
ILP
2003
Springer
14 years 3 months ago
2003
Springer
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
AAAI
2011
12 years 10 months ago
2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
CSDA
2007
13 years 10 months ago
2007
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
PR
2006
13 years 10 months ago
2006
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...