Abstract: This paper proposes a Cascaded Random Forest (CRF) method, which can improve the classification performance by means of combining two different enhancements into the Random Forest (RF) ...

The minerals needed for clean energy are driving widespread forest loss across Africa, much of it far beyond the mine itself ...

Abstract: If an interaction exists in medical and health sciences, a proper statistical approach is required to avoid an erroneous conclusion. For example, different genders may introduce modified ...

The R package iRF implements iterative Random Forests, a method for iteratively growing ensemble of weighted decision trees, and detecting high-order feature interactions by analyzing feature usage on ...

Climate researchers at ETH Zurich show where planting trees makes the most sense with a view to achieving the greatest possible cooling effect on the climate. Reforestation in tropical regions has the ...

More than 100 years ago Hungarian-born mathematician George Pólya found himself trapped in a loop of social awkwardness. A professor at the Swiss Federal Institute of Technology Zurich, he enjoyed ...

Comparison of canopy height dynamics in plantations and secondary forests. (A) Violin plots of canopy height in 2019. (B) The regression slope of annual canopy height for 1986 to 2019. (C) The CV of ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

Ben is a writer for Game Rant. He has a passion for gaming and has been playing video games since he was 6. Ben has always been a fan of open-world games, having gotten into them back when RuneScape ...

Random forests have become popular for clinical risk prediction modeling. In a case study on predicting ovarian malignancy, we observed training AUCs close to 1. Although this suggests overfitting, ...