迈向可解释性、准确性和可扩展性的权衡:线性分类模型中的增强公式
Towards a trade-off of interpretability, accuracy and scalability: Enhanced formulations in linear classification models
Computers and Operations Research · 2026
被引 0
ABS 3
- Héctor G.-de-Alba
- Andrés Téllez
- José Emmanuel Gómez‐Rocha 通讯
- Cipriano Santos
- Juán Antonio Orozco
- Ricardo Baeza‐Yates
机器学习运筹学分类模型可解释性