Efficient parameter selection for support vector machines-Reference-Cited by-同舟云学术

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Efficient parameter selection for support vector machines

Published:2019-04-10 Issue:6 Volume:13 Page:916-932
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Huang Hsin-Hsiung¹^ORCID,Wang Zijing¹,Chung Wingyan²³

Affiliation:

1. Department of Statistics, University of Central Florida, Orlando, FL, USA

2. Institute for Simulation and Training, University of Central Florida, Orlando, FL, USA

3. Department of Computer Science, Faculty of Engineering, The University of Hong Kong, Hong Kong

Funder

In-House of UCF

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2019.1592233

Reference33 articles.

1. penalizedSVM: a R-package for feature selection SVM classification

2. Improving productivity and firm performance with enterprise resource planning

3. A User’s Guide to Support Vector Machines

4. A Note on Parameter Selection for Support Vector Machines

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