One-pass online learning: A local approach

作者：

Highlights：

• Propose an one-pass local online learning algorithm (LOL).

• LOL learns multiple hyperplanes jointly.

• LOL makes non-linear online learning more effective and accurate.

• Provide theoretical analysis on the cumulative error of LOL.

• Experimentally show the effectiveness of the proposed method.

摘要

Highlights•Propose an one-pass local online learning algorithm (LOL).•LOL learns multiple hyperplanes jointly.•LOL makes non-linear online learning more effective and accurate.•Provide theoretical analysis on the cumulative error of LOL.•Experimentally show the effectiveness of the proposed method.

论文关键词：One-pass online learning,Local modeling,Classification

论文评审过程：Received 13 January 2015, Revised 25 May 2015, Accepted 1 September 2015, Available online 15 September 2015, Version of Record 27 November 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.09.003