In this paper, we evaluate the use of traditional decision tree algorithms CRT, CHAID and QUEST to determine a decision tree which can be used to predict a set of (Pareto optimal) junction design ...

Gradient-boosted decision trees (GBDTs) are widely used in machine learning, and the output of current GBDT implementations is a single variable. When there are multiple outputs, GBDT constructs ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Kinship systems in language play a crucial role in defining how people view and categorize their family relationships, often influencing social structures and cultural norms.

PHOENIX SUNS Jordan Ott hiring strengthens questions on Suns’ decision-making tree Jun 4, 2025, 12:57 PM | Updated: Jun 5, 2025, 1:00 pm ...

Decision Tree – Steps to follow when interacting with tobacco industry Download in PDF format (334 KB, 1 page) Organization: Health Canada Date published: 2025 Cat.: H149-32/2025F-PDF ISBN: ...