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» Feature selection for ordinal regression
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161
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ECAI
2010
Springer
15 years 1 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
134
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ISSTA
2006
ACM
15 years 9 months ago
A regression tests selection technique for aspect-oriented programs
As the Aspect-Oriented Software Development gains popularity, there is growing interest as developing for existing object-oriented software aspects to address the crosscutting pro...
Guoqing Xu
107
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PRL
2008
81views more  PRL 2008»
15 years 3 months ago
Selecting and constructing features using grammatical evolution
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos D...
134
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
Ignacio Barrio, Enrique Romero, Lluís Belan...
153
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JMLR
2006
85views more  JMLR 2006»
15 years 3 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...