Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

A new algorithm has been designed to enable robots to make safer decisions around humans. In a factory setting, robots and ...

Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides a dataset into pure subsets based on impurity measurements such as entropy ...

Therefore, in the general case, it is better to simulate the behavior of the DT (Decision Tree) on the given tuple of feature values rather than building the entire tree. We propose a greedy algorithm ...

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 ...

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...