As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

Abstract: In this paper, we present a new algorithm for learning oblique decision trees. Most of the current decision tree algorithms rely on impurity measures to assess the goodness of hyperplanes at ...

Computer vision systems combined with machine learning techniques have demonstrated success ... which influence consumer purchasing potential, using the decision tree algorithm. Tomatoes were ...

Abstract: Machine learning (ML ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as interpretable as decision trees (DTs) while ...

Objectives This study aimed to employ machine learning algorithms to predict ... Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree classifier, ...

The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, ...