Decision trees are a simple but powerful prediction method. Nature Methods ... In general, trees can be built using forward (tree-growing) or backward (tree-trimming) algorithms.

After the first split, the decision tree algorithm examines each of the two subsets of data and finds a predictor variable and a value that gives the most information. The process continues until a ...

Four years of research led to a specific decision tree data mining algorithm yielding best results. Results obtained from the BC database were excellent, revealing $4.7 billion ...

Starting with all 200 training items, the decision tree algorithm scans the data and finds the one value of the one predictor variable that splits the data into two sets in such a way that the most ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and robust data security. On the client side, a lightweight graphical application ...

Boosted decision trees. Physicists have been using decision trees since the 1970s. Decision-tree algorithms work by running data through a series of decision points. At each point, the algorithm ...

If you've ever been stuck in an endlessly time-wasting automated telephone tree ("Press One for…") you know the limits of pre-programmed decision-making systems. Somebody must have thought this ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move. In 2018, Google DeepMind's AlphaZero program taught itself the ...