Genomic selection (GS) is a novel strategy that aims to improve the prediction of complex agronomic traits using information from high-throughput genotyping platforms and phenotypic information of a ...

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 ...

An updated emergency visit classification tool enables managers to make valid inferences about levels of appropriateness of emergency department utilization and healthcare needs within a population.

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

Please provide your email address to receive an email when new articles are posted on . Four adnexal mass classification algorithms successfully distinguished lesions when used by a novice operator. A ...

Intelligent intrusion detection systems can only be built if there is availability of an effective data set. A data set with a sizable amount of quality data which mimics the real time can only help ...

Objective: This study developed and tested a computer method to automatically assign subjects to aggregate work groups based on their free text work descriptions. Methods: The Double Root Extended ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...