China faces the challenge of having only 30% of the world's average forest area per capita, 40% of its farmland per person, ...

The study, published in Forest Ecosystems, presents a refined update to the 3-PG (Physiological Processes Predicting Growth) model. Its major innovation is adding a carbon storage pool specifically ...

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 ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...