414 search results - page 26 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
DMIN
2008
13 years 9 months ago
2008
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
JUCS
2008
13 years 7 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
PAKM
2008
13 years 9 months ago
2008
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...