Recent advances of large-scale linear classification
Journal
Proceedings of the IEEE
Journal Volume
100
Journal Issue
9
Pages
2584-2603
Date Issued
2012
Author(s)
Abstract
Linear classification is a useful tool in machine learning and data mining. For some data in a rich dimensional space, the performance (i.e., testing accuracy) of linear classifiers has shown to be close to that of nonlinear classifiers such as kernel methods, but training and testing speed is much faster. Recently, many research works have developed efficient optimization methods to construct linear classifiers and applied them to some large-scale applications. In this paper, we give a comprehensive survey on the recent development of this active research area.
Type
journal article