28 search results - page 1 / 6 » Conditional variable importance for random forests |
BMCBI
2008
13 years 4 months ago
2008
BMCBI
2010
13 years 4 months ago
2010
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
BMCBI
2007
13 years 4 months ago
2007
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
JMLR
2006
13 years 4 months ago
2006
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...