TUNING SVM PARAMETERS FOR CLASSIFYING GEOGRAPHICAL ORIGINS OF CHINESE MEDICAL HERBS

DOI10.1142/S0219691306001518zbMath1145.62392OpenAlexW2135638048MaRDI QIDQ3521546

Jianhua Xu, Xuegong Zhang, Suqin Sun

Publication date: 26 August 2008

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691306001518

zbMATH Keywords

support vector machineparameter tuning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (2)

MULTIRESOLUTION SIGNAL DECOMPOSITION AND APPROXIMATION BASED ON SUPPORT VECTOR MACHINES ⋮ Multiple sub-hyper-spheres support vector machine for multi-class classification

Cites Work

• Gene selection for cancer classification using support vector machines
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