A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

Our analysis revealed that Random Forest consistently outperformed other models in balancing predictive accuracy and alignment with financial forecasts. Among the tested configurations, the ...

The model employs the Random Forest Algorithm to provide robust and interpretable predictions. Project Overview. Title: Stroke Prediction Using Random Forest; Course: Machine Learning (IF540-L) ...

Using double bootstrap sampling to create training sets Employing random subspace selection twice for feature selection Combining predictions through weighted voting This approach has been shown to ...

Building on random forests (RFs) and random intersection trees (RITs) and through extensive, biologically inspired simulations, we developed the iterative random forest algorithm (iRF). iRF trains a ...