140 search results - page 23 / 28 » Variable Selection from Random Forests: Application to Gene ... |
CSDA
2008
13 years 8 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
BMCBI
2010
13 years 5 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
CSDA
2007
13 years 8 months ago
2007
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
BMCBI
2010
13 years 8 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
BMCBI
2005
13 years 8 months ago
2005
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...