Self-adaptive Support Vector Machine: A multi-agent optimization perspective

作者：

Highlights：

• We propose multi-agents systems for solving classification problems.

• Cooperative AMAS techniques are presented for SVM classification and model selection.

• Perspectives in multiclass and unsupervised learning are also presented.

• Illustrative numerical examples are provided.

摘要

•We propose multi-agents systems for solving classification problems.•Cooperative AMAS techniques are presented for SVM classification and model selection.•Perspectives in multiclass and unsupervised learning are also presented.•Illustrative numerical examples are provided.

论文关键词：Support Vector Machine,Classification,Model selection,Multi-agent systems,Collaborative process,Complex systems optimization

论文评审过程：Available online 28 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.028