The Improved Transductive Support Vector Machine and Its Application to Environment Monitoring in Industrial Seaculture
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.58
The study on Transductive Support Vector Machine(TSVM) has made little progress since Vapnik put forth the concept in the late 1990s, as algorithm for TSVM optimization model can not be easily found. Here we try to transform the problem of TSVM optimization into an unconstrained one before constructing the smooth unconstrained optimization that has a kernel, and on the basis of which to devise a TSVM whose optimization problem is easier to solve to breakthrough the bottleneck in order to deepen the research into TSVM and apply TSVM to environment monitoring of industrial sea culture.
Optimization, Smoothing Function, Unconstrained, Transductive Support Vector Machine, Environment Monitoring
Yan Man-fu, Wang Zhao-xia, "The Improved Transductive Support Vector Machine and Its Application to Environment Monitoring in Industrial Seaculture", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 524-529, doi:10.1109/CSIE.2009.58