Also, I’ll be using a straightforward example problem ... is a decision tree, or a data-derived flowchart, and my complex model is the input factors and decisions of my machine learning system.

We can state the problem of learning decision trees as follows: We have a set of examples correctly categorised into categories (decisions). We also have a set of attributes describing the examples, ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making ... understanding of the problem. In the 1990s, the algorithm became popular with weather ...

In a study from the Institute for Artificial Intelligence and Decision ... to evaluation in machine learning.” There’s no simple solution to the dataset annotation problem — assuming that ...