EasySVM: A visual analysis approach for open-box support vector machines

10.1007/s41095-017-0077-5

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Bibliographic Details
Main Authors:	Ma, Y, Chen, W, Ma, X, Xu, J, Huang, X, Maciejewski, R, Tung, A.K.H
Other Authors:	DEPT OF COMPUTER SCIENCE
Format:	Article
Published:	Springer 2020
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183520
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Institution:	National University of Singapore

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