Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction

スポンサーリンク

概要

• 論文の詳細を見る

• An asymmetric classifier based on kernel partial least squares is proposed for software defect prediction. This method improves the prediction performance on imbalanced data sets. The experimental results validate its effectiveness.

• 2012-07-01

著者

• Luo Guangchun

  University Of Electronic Science And Technology Of China

• MA Ying

  University of electronic science and technology of China

• QIN Ke

  University of Electronic Science and Technology of China

関連論文

• Kernel Based Asymmetric Learning for Software Defect Prediction
• JTAR : Junction-Based Traffic Aware Routing in Sparse Urban VANETs
• Active Learning for Software Defect Prediction
• Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction
• Active Learning for Software Defect Prediction

スポンサーリンク