Developing parallel sequential minimal optimization for fast training support vector machine
10.1016/j.neucom.2006.05.007
Saved in:
Main Authors: | Cao, L.J., Keerthi, S.S., Ong, C.J., Uvaraj, P., Fu, X.J., Lee, H.P. |
---|---|
Other Authors: | MECHANICAL ENGINEERING |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/59892 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Parallel sequential minimal optimization for the training of support vector machines
by: Cao, L.J., et al.
Published: (2014) -
An improved conjugate gradient scheme to the solution of least squares SVM
by: Chu, W., et al.
Published: (2014) -
A parallel shuffled complex evolution model calibrating algorithm to reduce computational time
by: Muttil, N., et al.
Published: (2014) -
Convergence of a generalized SMO algorithm for SVM classifier design
by: Keerthi, S.S., et al.
Published: (2014) -
Parallel fdtd computing for EMC simulation in high-speed electronics
by: Jin, H., et al.
Published: (2014)