7 search results - page 1 / 2 » Random survival forests for high-dimensional data |
SADM
2011
13 years 1 months ago
2011
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
JCIT
2010
13 years 1 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
ICDM
2008
IEEE
14 years 26 days ago
2008
IEEE
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
BMCBI
2010
13 years 6 months ago
2010
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
BMCBI
2008
13 years 6 months ago
2008
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...