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

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


Anthology ID:DBLP:conf/cikm/VienVCYKC09
Volume:Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009
Year:2009
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2081-2082
URL:https://doi.org/10.1145/1645953.1646312
DOI:https://doi.org/10.1145/1645953.1646312
DBLP:conf/cikm/VienVCYKC09
BibTeX:
@inproceedings{vien-2009-vrifa, author = {Ngo Anh Vien and Nguyen Hoang Viet and TaeChoong Chung and Hwanjo Yu and Sungchul Kim and Baek Hwan Cho}, editor = {David Wai-Lok Cheung and Il-Yeol Song and Wesley W. Chu and Xiaohua Hu and Jimmy Lin}, title = {{VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels}}, booktitle = {{Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009}}, pages = {2081--2082}, publisher = {ACM}, year = {2009}, url = {https://doi.org/10.1145/1645953.1646312}, doi = {https://doi.org/10.1145/1645953.1646312} }