61 search results - page 6 / 13 » Feature Similarity Based Redundancy Reduction for Gene Selec... |
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
IWANN
2005
Springer
15 years 2 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...
KDD
2002
ACM
15 years 9 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...
ICML
1997
IEEE
15 years 1 months ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
ESWA
2008
14 years 8 months ago
2008
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...