2 papers
cs.LG2019
The Prevalence of Errors in Machine Learning Experiments
Martin Shepperd, Yuchen Guo, Ning Li +7
Context: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct rel…
cs.SE2019
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Ning Li, Martin Shepperd, Yuchen Guo
Background: Unsupervised machine learners have been increasingly applied to software defect prediction. It is an approach that may be valuable for software practitioners because it…