414 search results - page 2 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
AAAI
2006
13 years 6 months ago
2006
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
NIPS
2007
13 years 6 months ago
2007
Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...