Title :
Revised online learning with kernels for classification and regression
Author :
Guoqi Li ; Ning Ning ; Ramanathan, Kannan ; Luping Shi
Author_Institution :
Data Storage Inst., A*STAR, Singapore, Singapore
Abstract :
Revised algorithm for online learning with kernels (OLK) in classification and regression is proposed in a reproducing kernel hilbert space (RKHS). Compared with the original OLK, the revised algorithm allows that the new data points arrive either one by one or two by two.
Keywords :
Hilbert spaces; learning (artificial intelligence); pattern classification; regression analysis; OLK; RKHS; classification; data points; online learning with kernels; regression; reproducing kernel Hilbert space; revised algorithm; Art; Data mining; Hilbert space; Kernel; Optimization; Support vector machines; Classification; Online Learning with Kernels; Regression; Reproducing Kernel Hilbert Space;
Conference_Titel :
Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/CIDM.2013.6597247
