Dynamical Memory Control Based on Projection Technique for Online Regression
In this paper,a dynamical memory control strategy based on projection technique is proposed for kernel-based online regression.Namely,when an instance is removed from the memory,its contribution will be kept by projecting the regression function onto the subspace expanded instead of throwing it away cheaply.This strategy composed by incremental and decremental controls.To the former,a new example will be added to the memory if it brings a significant change to the regression function,otherwise discarded by the projection technique.The latter is applied when a new instance is added to the memory,or the memory size has reached a predefined budget.The proposed method is analyzed theoretically and its performance is tested on four benchmark data sets.
Dynamical Memory Online Regression Projection Technique Kernel Methods
Hui Jiang Bo Zhang
School of Statistics,Renmin University of China,Beijing,100872,China Center for Applied Statistics,School of Statistics,Renmin University of China,Beijing,100872,China
国内会议
开封
英文
117-128
2012-05-25（万方平台首次上网日期，不代表论文的发表时间）