90 search results - page 10 / 18 » Random Feature Subset Selection for Analysis of Data with Mi... |
MCS
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
NIPS
2007
13 years 10 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
BMCBI
2006
13 years 8 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
PAMI
1998
13 years 8 months ago
1998
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...