Title :
Multi-output Support Vector Machine Regression and Its Online Learning
Author :
Gensheng, Hu ; Dong, Liang
Author_Institution :
Educ. Dept. Key Lab. of IC & SP, Anhui Univ., Hefei
Abstract :
This paper introduces multi-output support vector machine regression (M-SVR) by using the re-weight iterative algorithm. Then the problem of online learning of M-SVR is solved by given the iterative formula for the weight of regression function using the gradient descent algorithm of instantaneous risk. Computer experiments show that the accuracy and workload of the algorithm are superior to that using several one-dimensional output SVRs algorithm.
Keywords :
learning (artificial intelligence); regression analysis; support vector machines; multi-output regression; online learning; support vector machine; Computer science; Hilbert space; Iterative algorithms; Kernel; Laboratories; Machine learning; Paper technology; Software engineering; Statistical learning; Support vector machines; multi-output regression; online learning; support vector machine;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1024
