5802 search results - page 44 / 1161 » Parallelizing Feature Selection |
JUCS
2008
14 years 9 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...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
101
click to vote
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...