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Statistical classification / Support vector machine / K-nearest neighbor algorithm / VC dimension / Feature selection / Structural risk minimization / Training set / Least squares support vector machine / Supervised learning / Statistics / Machine learning / Artificial intelligence


Minimum Reference Set Based Feature Selection for Small Sample Classifications Xue-wen Chen [removed] Jong Cheol Jeong
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Document Date: 2008-12-01 11:26:27

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City

Berlin / San Francisco / Lawrence / Kernel / New York / /

Company

Prentice-Hall / Neural Information Processing Systems / Goumnerova L.C. / Neural Networks / Norton / John Wiley and Sons / Weston / /

Country

United States / /

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Facility

University of Kansas / /

IndustryTerm

search process / feature selection algorithm / dot product / metal cylinder / /

Organization

North Atlantic Treaty Organization / U. S. Army Research Office / National Science Foundation / University of Kansas / Department of Electrical Engineering and Computer Science / /

Person

Identifier Algorithm / Technicheskaya Kibernetica / Minimizing / O. Vapnik / V / Next / Jong Cheol Jeong / /

Position

author / Bishop / /

ProgrammingLanguage

E / /

ProvinceOrState

Kansas / New York / California / /

PublishedMedium

Nature Medicine / Machine Learning / Journal of Machine Learning Research / /

Technology

Bioinformatics / MRS Identify algorithm / Local Learning Algorithms / DNA Chip / gene expression / feature selection algorithm / Machine Learning / local algorithm / /

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http /

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