Biomedical classification application and parameters optimization of mixed kernel SVM based on the information entropy particle swarm optimization-Reference-Cited by-同舟云学术

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Biomedical classification application and parameters optimization of mixed kernel SVM based on the information entropy particle swarm optimization

Published:2016-10-25 Issue:sup1 Volume:21 Page:132-141
ISSN:2469-9322
Container-title:Computer Assisted Surgery
language:en
Short-container-title:Computer Assisted Surgery

Author:

Li Mi¹²³,Lu Xiaofeng¹²³,Wang Xiaodong¹²³,Lu Shengfu¹²³,Zhong Ning¹²³⁴

Affiliation:

1. Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China;

2. Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China;

3. Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China;

4. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan

Publisher

Informa UK Limited

Subject

Family Practice,Computer Science Applications,Surgery

Link

https://tandfonline.com/doi/pdf/10.1080/24699322.2016.1240300

Reference39 articles.

1. Kernel based support vector machine for the early detection of syncope during head-up tilt test

2. DFA7, a New Method to Distinguish between Intron-Containing and Intronless Genes

3. Comparative Analyses between Retained Introns and Constitutively Spliced Introns in Arabidopsis thaliana Using Random Forest and Support Vector Machine

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