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» The Feature Importance Ranking Measure
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CIKM
2009
Springer
15 years 1 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
BMCBI
2006
117views more  BMCBI 2006»
14 years 9 months ago
SigFlux: A novel network feature to evaluate the importance of proteins in signal transduction networks
Background: Measuring each protein's importance in signaling networks helps to identify the crucial proteins in a cellular process, find the fragile portion of the biology sy...
Wei Liu, Dong Li, Jiyang Zhang, Yunping Zhu, Fuchu...
AIRWEB
2007
Springer
15 years 1 months ago
Measuring Similarity to Detect Qualified Links
The early success of link-based ranking algorithms was predicated on the assumption that links imply merit of the target pages. However, today many links exist for purposes other ...
Xiaoguang Qi, Lan Nie, Brian D. Davison
CVPR
2006
IEEE
15 years 11 months ago
An Intensity-augmented Ordinal Measure for Visual Correspondence
Determining the correspondence of image patches is one of the most important problems in Computer Vision. When the intensity space is variant due to several factors such as the ca...
Anurag Mittal, Visvanathan Ramesh
BMCBI
2004
167views more  BMCBI 2004»
14 years 9 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...