Decision tree data mining techniques perform four important functions. Decision trees: 1. Operate as a form of exploration tool on geological field data collected and stored in a database; ...

Greedy algorithms work by making the most immediately advantageous choices at each point along the decision tree, picking the best path in front of it regardless of the routes this may block in ...

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 ...

Algorithm promises to greatly streamline solutions to the 'max flow' problem. Research could boost the efficiency even of huge networks like the Internet. Finding the most efficient way to ...

But there is also some empirical work comparing various algorithms across many datasets and drawing some conclusions, what types of problems tend to do better with trees vs logistic regression.

Using Kyng’s algorithm, the “additional” computing time required to reach the solution after reading the network data is now negligible. Like a Porsche racing a horse-drawn carriage. The ETH Zurich ...