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INFORMS
1998
100views more  INFORMS 1998»
15 years 6 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
MOBISYS
2004
ACM
16 years 6 months ago
Divert: Fine-grained Path Selection for Wireless LANs
The performance of Wireless Local Area Networks (WLANs) often suffers from link-layer frame losses caused by noise, interference, multipath, attenuation, and user mobility. We obs...
Allen K. L. Miu, Godfrey Tan, Hari Balakrishnan, J...
DOCENG
2006
ACM
16 years 14 days ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
AIME
2009
Springer
15 years 10 months ago
Data-Efficient Information-Theoretic Test Selection
We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimate...
Marianne Mueller, Rómer Rosales, Harald Ste...
DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
15 years 10 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...