Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...
"We have long treated the Planck scale like a blurry limit," said Kulkarni. "But if you treat space as an information storage medium, geometry dictates a specific packing efficiency. The universe has ...
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Abstract: Fuzzy rough set theory has made significant strides in the field of feature selection. However, it still faces challenges when dealing with noisy data. Most traditional models fail to ...
Aim: This study applied the Cognitive Diagnostic Model (CDM) to develop a personalized recommendation algorithm for rehabilitation intervention in children and adolescents with autism spectrum ...