Optimizing support vector machine parameters using continuous ant colony optimization

Support Vector Machines are considered to be excellent patterns classification techniques.The process of classifying a pattern with high classification accuracy counts mainly on tuning Support Vector Machine parameters which are the generalization error parameter and the kernel function parameter.Tu...

詳細記述

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書誌詳細
主要な著者: Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2012
主題:
オンライン・アクセス:http://repo.uum.edu.my/6965/1/P8_-_ICCCT.pdf
http://repo.uum.edu.my/6965/
http://www.gconference.net/eng/conference_view.html?no=35577&location=02&rDay=11012012
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