BIOENGINEER

Entropy-weighted feature selection lifts heart disease prediction to 94 percent accuracy

A new entropy-weighted feature selection method trims 13 clinical attributes down to 8 and pushes heart disease prediction ...
Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
Nature

Feature Selection Techniques in Machine Learning Systems

Feature selection is a critical pre-processing step in machine learning that seeks to identify a subset of input variables most relevant to predictive modelling. By reducing dimensionality, it ...
BIOENGINEER

Ants, Rewards and Opposites: New Algorithm Sharpens Feature Selection When Labels Are Scarce

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...