James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict ... on each line are the predictors (often called features in machine learning ...

There are many machine learning techniques for multi-class classification. One of the most powerful ... which in turn was inspired by earlier tree boosting algorithms. The "boosting" term of the ...

What are machine learning algorithms ... problems for time series data. Classification problems are sometimes divided into binary (yes or no) and multi-category problems (animal, vegetable ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Machine learning ... the most common algorithms for each kind of problem. A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually ...

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict ... risk for the NOVA classification is in the NOVA 4 ...