OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification

作者：

Highlights：

• OTLAMC, an online transfer learning algorithm for multi-class classification, is proposed.

• A new loss function and a new updating method are proposed and adopted in OTLAMC.

• The mistake bound of the proposed OTLAMC is derived.

• Experiments on two widely used datasets illustrate that OTLAMC has good performance.

摘要

•OTLAMC, an online transfer learning algorithm for multi-class classification, is proposed.•A new loss function and a new updating method are proposed and adopted in OTLAMC.•The mistake bound of the proposed OTLAMC is derived.•Experiments on two widely used datasets illustrate that OTLAMC has good performance.

论文关键词：Online transfer learning,Multi-class classification,Knowledge transfer

论文评审过程：Received 27 October 2018, Revised 21 March 2019, Accepted 23 March 2019, Available online 2 April 2019, Version of Record 7 May 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.03.024