Outcomes with androgen-deprivation therapy (ADT) plus androgen receptor pathway inhibitors (ARPIs) in veterans with de novo metastatic castration-sensitive prostate cancer (mCSPC) who were elderly, ...

A new AI model, H-CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a classification tree—such as bird, eagle, bald eagle—rather than ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...

Paint marks on trees are one of those things where once you start noticing them, you suddenly see them everywhere. Colorful paint is used by individuals, tree professionals, and government agencies to ...

This article provides a birds-eye view on the role of decision trees in machine learning and data science over roughly four decades. It sketches the evolution of decision tree research over the years, ...

Hyperspectral imagery and machine learning have proven to be powerful, non-invasive, and chemical-free tools for studying tree symbiotic fungi. However, traditional machine learning requires manual ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...