28 search results - page 1 / 6 » Conditional variable importance for random forests |
BMCBI
2008
13 years 11 months ago
2008
BMCBI
2010
13 years 11 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 11 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 10 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
15 years 26 days 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...