An EnKF-based scheme to optimize hyper-parameters and features for SVM classifier-Reference-Cited by-同舟云学术

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An EnKF-based scheme to optimize hyper-parameters and features for SVM classifier

Published:2017-02 Issue: Volume:62 Page:202-213
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ji Yingsheng,Chen Yushu,Fu Haohuan,Yang Guangwen

Funder

National High-Tech Research and Development Plan of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference56 articles.

1. The ensemble Kalman filter;Evensen;Ocean Dyn.,2003

2. The Nature of Statistical Learning Theory;Vapnik,2000

3. C. Hsu, A practical guide to support vector classification (2003).

4. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

5. Choosing multiple parameters for support vector machines;Chapelle;Mach. Learn.,2002

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