Big Data: the curse of dimensionality in modeling
The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described.The inherent difficulty,the curse of dimensionality,is introduced.Its connections to various topics and research areas are briefly discussed including order determination,pattern recognition,data mining,machine learning,statistical regression and manifold embedding.Finally,two methods,top down and bottom up approaches are described in some details.
Er-wei Bai
Dept. of Electrical and Computer Engineering University of Iowa,Iowa City,Iowa 52242;School of Electronics,Electrical Engineering and Computer Science Queens University,Belfast,UK
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
6-13
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)