Intelligent classification algorithms in enhancing the performance of support vector machine

Performing feature subset and tuning support vector machine (SVM) parameter processes in parallel with the aim to increase the classification accuracy is the current research direction in SVM. Common methods associated in tuning SVM parameters will discretize the continuous value of these parameters...

詳細記述

保存先:
書誌詳細
主要な著者: Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana
フォーマット: 論文
言語:English
出版事項: Little Lion Scientific 2019
主題:
オンライン・アクセス:http://repo.uum.edu.my/27867/1/JIAIT%2097%202%202019%20664%20657.pdf
http://repo.uum.edu.my/27867/
http://www.jatit.org/volumes/ninetyseven2.php
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!