Nature

Feature identification learning both shapes and is shaped by spatial object-similarity representations

Object knowledge is bound together in semantic networks that can be spatially represented. How these knowledge representations shape and are in turn shaped by learning remains unclear. Here, we ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Nature

Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach

This study investigated and validated all-cause in-hospital death prediction models for hospitalized pneumonia patients based on large-scale clinical data, including diagnoses, medication ...