Towards ultrahigh dimensional feature selection for big data

In this paper, we present a new adaptive feature scaling scheme for ultrahigh-dimensional feature selection on Big Data, and then reformulate it as a convex semi-infinite programming (SIP) problem. To address the SIP, we propose an eficient feature generating paradigm. Different from traditional gra...

Full description

Saved in:
Bibliographic Details
Main Authors: Tan, Mingkui, Tsang, Ivor W., Wang, Li
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/105805
http://hdl.handle.net/10220/20902
http://www.jmlr.org/papers/v15/tan14a.html
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English