Paul Temple

Constraint Enforcement on Decision Trees: A Survey

2022 · ACM Computing Surveys

Decision trees have the particularity of being machine learning models that are visually easy to interpret and understand. Therefore, they are primarily suited for sensitive domains like medical diagnosis, where decisions need to be explainable. …

Learning Customised Decision Trees for Domain-knowledge Constraints

2023 · Pattern Recognition

When applied to critical domains, machine learning models usually need to comply with prior knowledge and domain-specific requirements. For example, one may require that a learned decision tree model should be of limited size and …