VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels

Vien Ngo, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009
Pages	2081-2082
Number of pages	2
Publication status	Published - 2009

Cite this

@inproceedings{5ecbe1fc3934406db79ad3774b37a95b,

title = "VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels",

author = "Vien Ngo and Viet, {Nguyen Hoang} and TaeChoong Chung and Hwanjo Yu and Sungchul Kim and Cho, {Baek Hwan}",

year = "2009",

language = "English",

pages = "2081--2082",

booktitle = "Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009",

}

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. / Ngo, Vien; Viet, Nguyen Hoang; Chung, TaeChoong et al.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009. 2009. p. 2081-2082.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels

AU - Ngo, Vien

AU - Viet, Nguyen Hoang

AU - Chung, TaeChoong

AU - Yu, Hwanjo

AU - Kim, Sungchul

AU - Cho, Baek Hwan

PY - 2009

Y1 - 2009

M3 - Conference contribution

SP - 2081

EP - 2082

BT - Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009

ER -