New research tries to anticipate road building to identify areas in the Amazon, Asia and Africa that are likely to face ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...

This project implements a Federated Random Forest (FRF) using the federated learning library Flower and the sklearn random forest classifier. It is demonstrated through three clients as an example.

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

Brighton boss Fabian Hurzeler admits he sees Nottingham Forest as an example to follow. Brighton meet third-place Forest in today's early kickoff. “We can be there but the truth is we are not there,” ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

ABSTRACT: The cyclical fluctuations of financial markets have long been an important topic in investment theory research. Quantitative investment strategies, due to their systematic and objective ...

# features from the Time variable. # remember: factor tells R to treat a number as a category and make dummies. hour = hour(timestamp), # hour of day wday = wday ...