SUPPORT VECTOR MACHINE BASED ON RANDOM SET SAMPLES-Reference-Cited by-同舟云学术

SUPPORT VECTOR MACHINE BASED ON RANDOM SET SAMPLES

Published:2013-07 Issue:supp01 Volume:21 Page:101-112
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

WANG CHAO¹²,HA MINGHU³⁴,CHEN JIQIANG³,XING HONGJIE⁴

Affiliation:

1. College of Physics Science and Technology, Hebei University, Baoding, China

2. School of Economics and Management, Hebei University of Engineering, Handan, China

3. School of Science, Hebei University of Engineering, Handan, China

4. College of Mathematics and Computer Science, Hebei University, Baoding, China

Abstract

In order to deal with learning problems of random set samples encountered in real-world, according to random set theory and convex quadratic programming, a new support vector machine based on random set samples is constructed. Experimental results show that the new support vector machine is feasible and effective.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488513400084

Reference18 articles.

1. An overview of statistical learning theory

2. Objective Image Quality Assessment Based on Support Vector Regression

3. FUZZY TRANSDUCTIVE SUPPORT VECTOR MACHINES FOR HYPERTEXT CLASSIFICATION

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