Learn more The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street ...

Opacity in AI is a formal, academic description of what is more commonly referred to as, "What the heck is the algorithm doing?" It's a problem that is at the root of many ethical issues with AI. It ...

There are several types of classification algorithms, some of which are: Clustering is a technique that groups data points. It assumes data in similar groups have the same characteristics and data ...

Algorithms that fuse the information together can support this classification. An international research team has now developed an algorithm that classifies skin lesions more accurately than ...

The algorithms are not always definitive. Scientists may use methods that fall into only one classification, or they might employ hybrid algorithms that use techniques from multiple categories.

where n is the grand total of ED visits, c is the number of columns in a classification table, and r is the number of visit classes.The P value for the significance of V is the same as for Pearson ...

They found that the algorithm with the best correlation does not always have the best selection rate. Instead of building a regression curve that fits all the training data, classification ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

We assessed the association of emergent classification of an ED visit based on the New York University ED Algorithm (EDA) with hospital mortality and hospital admission. Using diagnosis codes ...