414 search results - page 22 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
DMIN
2007
13 years 9 months ago
2007
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
BMCBI
2006
13 years 7 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...