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RSKT
2009
Springer
15 years 8 months ago
A Time-Reduction Strategy to Feature Selection in Rough Set Theory
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Fe...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 7 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
ATAL
2008
Springer
15 years 5 months ago
Experimental Evaluation of Deceptive Information Filtering in Context-Aware Service Selection
Experience-based service selection refers to selection of service providers using others' experiences. An agent can represent its experience (its demand and received service) ...
Murat Sensoy, Pinar Yolum
ACIVS
2009
Springer
15 years 10 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
147
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ICASSP
2008
IEEE
15 years 10 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...