Some Considerations On Choosing An Outlier Method For Automotive Product Lines

2017 IEEE INTERNATIONAL TEST CONFERENCE (ITC)(2017)

引用 7|浏览2
暂无评分
摘要
Outlier screening is a popular approach employed for automotive product lines. There have been many outlier methods proposed. In practice, it is desirable to choose the "best" outlier method. This work develops a notion of applicability associated with an outlier method on a given set of wafers. A measure for applicability is proposed and experiment results are presented to illustrate its effects for finding outliers and for analyzing customer returns based on data collected from several automotive product lines.
更多
查看译文
关键词
automotive product lines,outlier screening,customer returns,unsupervised learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要