EFFECT: Explainable framework for meta-learning in automatic classification algorithm selection

Information Sciences（2023）

引用 4|浏览26

暂无评分

摘要

•Explainable framework for meta-learning.•Efficiency and high causality.•Intervention and counterfactual.

查看译文

关键词

Explainability,Meta-learning,Causal reasoning,Counterfactual interpretation

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