NDLI: Tuning SVM hyperparameters in the primal

Content Provider	IEEE Xplore Digital Library
Author	Huang Dongyuan Chen Xiaoyun
Copyright Year	2010
Description	Author affiliation: College of Mathematics and Computer Science, Fuzhou University, China (Huang Dongyuan; Chen Xiaoyun)
Abstract	Choosing optimal hyperparameters for Support Vector Machines(SVMs) is quite difficult but extremely essential in SVM design. This is usually done by minimizing estimates of generalization error such as the k-fold cross-validation error or the upper bound of leave-one-out(LOO) error. However, most of the approaches concentrate on the dual optimization problem of SVM. In this paper, we would like to consider the task of tuning hyperparameters in the primal. We derive a smooth validation function from the k-fold cross-validation, then tune hyperparameters by minimizing the smooth validation function using Quasi- Newton optimization technique. Experimental results not only show that our approach is much faster and provides more precise results than grid search method, but also demonstrate that tuning hyperparameters in the primal would be more efficient than in the dual due to advantages provided by the primal.
Starting Page	201
Ending Page	204
File Size	413169
Page Count	4
File Format	PDF
ISBN	9781424477050
e-ISBN	9781424477067
DOI	10.1109/CINC.2010.5643857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Artificial neural networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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