Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach

作者：

Highlights：

• It combines DAG with SVM binary classifiers with one-versus-all approach.

• To validate UCI Machine Learning Repository and slate tiles data have been used.

• Error rates of different models have been analysed.

• Results show a good performance of proposed DAG-one-versus-all model.

摘要

•It combines DAG with SVM binary classifiers with one-versus-all approach.•To validate UCI Machine Learning Repository and slate tiles data have been used.•Error rates of different models have been analysed.•Results show a good performance of proposed DAG-one-versus-all model.

论文关键词：Support vector machines,Directed acyclic graphs,One-versus-all,UCI Machine Learning Repository,Slate tile classification

论文评审过程：Available online 22 January 2014.

论文官网地址：https://doi.org/10.1016/j.amc.2013.12.087