Nature

Species abundance information improves sequence taxonomy classification accuracy

Popular naive Bayes taxonomic classifiers for amplicon sequences assume that all species in the reference database are equally likely to be observed. We demonstrate that classification accuracy ...
Nature

CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment

We introduce Crystal Edge Graph Attention Neural Network (CEGANN) workflow that uses graph attention-based architecture to learn unique feature representations and perform classification of materials ...
National Academies of Sciences%2c Engineering%2c and Medicine

Modernizing Crime Statistics: Report 1: Defining and Classifying Crime

AT THE MOST BASIC LEVEL, “classification” is a means for grouping like things alike. The difference between classification schemas is the manner by which things are judged “like enough” to be put in ...
The American Journal of Managed Care

Risk Classification of Medicare HMO Enrollee Cost Levels Using a Decision-Tree Approach

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...