The job of classification is sometimes the ultimate goal of an AI algorithm.

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

Packet Classification Algorithms and Architectures Publication Trend The graph below shows the total number of publications each year in Packet Classification Algorithms and Architectures.

Amazon is announcing a new built-in TensorFlow algorithm for image classification in Amazon Sagemaker. The supervised learning algorithm supports transfer learning for many pre-trained models ...

Wrapping Up The k-nearest neighbors classification technique is one of the simplest possible machine learning classification algorithms. In general, k-NN classification is less accurate than other ...

The weighted k-NN classification algorithm has received increased attention recently for two reasons. First, by using neural autoencoding, k-NN can deal with mixed numeric and non-numeric predictor ...

Image classification algorithms are notoriously error-prone, but a novel method for spotting errors within incomprehensible AI code could help solve the problem.

To provide an overview of how risk classification algorithms have advanced treatment of children with neuroblastoma and highlight new approaches for maximizing the scientific value of available data ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

In another instance, researchers used a database of chest radiographs in children as a control group when training image-classification algorithms to diagnose Covid-19 in broad populations. 43 ...