New 'classification models' sense how well humans trust intelligent machines they collaborate with, a step toward improving the quality of interactions and teamwork. New "classification models" sense ...

A classification model is easiest to analyze when it has a balanced design. Many of the nice features of balanced designs are retained by error-orthogonal designs, which were introduced in a recent ...

A general framework is presented for data analysis of latent finite partially ordered classification models. When the latent models are complex, data analytic validation of model fits and of the ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The first job for many artificial ...

THOMASTON — Educators from across Georgia gathered at the GHSA offices Friday morning to discuss an objective that would seem difficult to oppose — arranging the association’s seven classifications to ...

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

Jared Ecker is a researcher and fact-checker. He possesses over a decade of experience in the Nuclear and National Defense sectors resolving issues on platforms as varied as stealth bombers to UAVs.