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

10.1007/s41095-017-0077-5

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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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spelling sg-nus-scholar.10635-1835202020-11-26T04:48:51Z EasySVM: A visual analysis approach for open-box support vector machines Ma, Y Chen, W Ma, X Xu, J Huang, X Maciejewski, R Tung, A.K.H DEPT OF COMPUTER SCIENCE 10.1007/s41095-017-0077-5 Computational Visual Media 3 2 161-175 2020-11-17T04:41:38Z 2020-11-17T04:41:38Z 2017 Article Ma, Y, Chen, W, Ma, X, Xu, J, Huang, X, Maciejewski, R, Tung, A.K.H (2017). EasySVM: A visual analysis approach for open-box support vector machines. Computational Visual Media 3 (2) : 161-175. ScholarBank@NUS Repository. https://doi.org/10.1007/s41095-017-0077-5 2096-0433 https://scholarbank.nus.edu.sg/handle/10635/183520 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Springer Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1007/s41095-017-0077-5
author2 DEPT OF COMPUTER SCIENCE
author_facet DEPT OF COMPUTER SCIENCE
Ma, Y
Chen, W
Ma, X
Xu, J
Huang, X
Maciejewski, R
Tung, A.K.H
format Article
author Ma, Y
Chen, W
Ma, X
Xu, J
Huang, X
Maciejewski, R
Tung, A.K.H
spellingShingle Ma, Y
Chen, W
Ma, X
Xu, J
Huang, X
Maciejewski, R
Tung, A.K.H
EasySVM: A visual analysis approach for open-box support vector machines
author_sort Ma, Y
title EasySVM: A visual analysis approach for open-box support vector machines
title_short EasySVM: A visual analysis approach for open-box support vector machines
title_full EasySVM: A visual analysis approach for open-box support vector machines
title_fullStr EasySVM: A visual analysis approach for open-box support vector machines
title_full_unstemmed EasySVM: A visual analysis approach for open-box support vector machines
title_sort easysvm: a visual analysis approach for open-box support vector machines
publisher Springer
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/183520
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