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FUZZIEEE
2007
IEEE
15 years 8 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
105
Voted
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 3 months ago
Objective reduction using a feature selection technique
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
Antonio López Jaimes, Carlos A. Coello Coel...
151
Voted
JMLR
2010
165views more  JMLR 2010»
14 years 9 months ago
Feature Selection: An Ever Evolving Frontier in Data Mining
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
TSMC
2010
14 years 9 months ago
Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection
: This paper studies face recognition by using hyperspectral imagery in the visible light bands. The spectral measurements over the visible spectrum have different discriminatory i...
Wei Di, Lei Zhang 0006, David Zhang, Quan Pan
ICANN
2010
Springer
15 years 3 months ago
A Feature Selection Method for Air Quality Forecasting
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
Luca Mesin, Fiammetta Orione, Riccardo Taormina, E...