Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.

Researchers have developed a machine learning approach that can optimize the treatment of livestock manure and predict how ...

Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K ...