Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

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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 ...

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 ...

A new generation of man-portable Autonomous Underwater Vehicles (MP-AUVs) has been successfully developed by the Naval Science and Technological Laboratory (NST ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

The Defence Research and Development Organisation (DRDO) has successfully developed a new generation of man-portable autonomous underwater vehicles. These vehicles, equipped with side scan sonar and ...

In this paper, we propose a new method for solving variational inclusion problems in Hilbert spaces. This algorithm uses two inertial terms to speed up the convergence. In order to avoid computing the ...