1463 search results - page 1 / 293 » Feature selection based on the training set manipulation |
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
EWCBR
2006
Springer
13 years 8 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...