On removing conflicts for machine learning
作者：
Highlights：
• Learning conflicts that affect machine learning system performance.
• Samples in a dataset with similar values but different target.
• Retention error kept meaningful samples while removing learning conflicts.
• Artificial neural networks trained with learning conflicts datasets.
• Generic algorithm improves the machine learning system performance.
摘要
•Learning conflicts that affect machine learning system performance.•Samples in a dataset with similar values but different target.•Retention error kept meaningful samples while removing learning conflicts.•Artificial neural networks trained with learning conflicts datasets.•Generic algorithm improves the machine learning system performance.
论文关键词：Learning conflicts,Training issues,Machine learning,Artificial neural networks,Genetic algorithm
论文评审过程：Received 15 February 2022, Revised 12 May 2022, Accepted 8 June 2022, Available online 15 June 2022, Version of Record 21 June 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117835
