Nature

Joint hybrid recursive feature elimination based channel selection and ResGCN for cross session MI recognition

In the field of brain-computer interface (BCI) based on motor imagery (MI), multi-channel electroencephalography (EEG) data is commonly utilized for MI task recognition to achieve sensory compensation ...
EurekAlert!

Advanced online method for battery model parameter identification: Bias-compensated forgetting factor recursive least squares

Lithium-ion power battery technology stands out as a pivotal component in advancement of new energy electric vehicles (EVs). Battery parameter identification, as one of the core technologies to ...
Forbes

Anthropic Declares That The Next Big Step For Humans And AI Is AI That Builds Itself Via Recursive Self-Improvement

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...
Nature

Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size

Selecting a few relevant items from a ranked list is a common task in data analysis and the key task in feature selection for machine learning 1. Feature selection can be seen, first, as the ...
Ars Technica

Recursion or while loops: Which is better?

This Q&A is part of a weekly series of posts highlighting common questions encountered by technophiles and answered by users at Stack Exchange, a free, community-powered network of 100+ Q&A sites.