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A new compound kernel function for SVM

  • Xi'an Jiaotong University
  • Xi'an Polytechnic University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Support Vector Machines (SVM) is one of most important algorithm in machine learning area. The choice of kernel function can have great influence on classification and approximation ability. Choosing appropriate kernel function and weight parameters is one of the keys to utilize SVM. Single kernel function always has its limitation in the application. We propose a new kernel function based on the analysis about the constitute conditions of the kernel function and the characteristics of different kinds of kernel function-linear compound kernel function, this function not only can reduce the amount of parameters of the kernel function, but also has good learning ability and generalizing ability. And we have tested the effectiveness of the kernel function through simulation.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
EditorsJianhua Ma, Ali Li, Huansheng Ning, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1306-1309
Number of pages4
ISBN (Electronic)9781467372114
DOIs
StatePublished - 20 Jul 2016
EventProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 - Beijing, China
Duration: 10 Aug 201514 Aug 2015

Publication series

NameProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

Conference

ConferenceProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
Country/TerritoryChina
CityBeijing
Period10/08/1514/08/15

Keywords

  • Compound kernel function
  • Condition positive kernel function
  • Linear kernel function
  • Support vector machine

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