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PR
2008
151views more  PR 2008»
15 years 6 months ago
Constraint Score: A new filter method for feature selection with pairwise constraints
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
TKDE
2008
111views more  TKDE 2008»
15 years 6 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
SCFBM
2008
738views more  SCFBM 2008»
15 years 6 months ago
Purposeful selection of variables in logistic regression
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
Zoran Bursac, C. Heath Gauss, David Keith Williams...
JUCS
2010
141views more  JUCS 2010»
15 years 5 months ago
Trust-Oriented Composite Service Selection with QoS Constraints
Abstract: In Service-Oriented Computing (SOC) environments, service clients interact with service providers for consuming services. From the viewpoint of service clients, the trust...
Lei Li, Yan Wang, Ee-Peng Lim
ACL
2010
15 years 4 months ago
Improving the Use of Pseudo-Words for Evaluating Selectional Preferences
This paper improves the use of pseudowords as an evaluation framework for selectional preferences. While pseudowords originally evaluated word sense disambiguation, they are now c...
Nathanael Chambers, Daniel Jurafsky