Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
Abstract: In high-dimensional data, features often exhibit complex correlations and redundancies that hinder effective learning and reduce model interpretability. Therefore, extracting critical ...
Google’s AI Overviews (AIO) represent a fundamental architectural shift in search. Retrieval has moved from a localized ranking-and-serving model, designed to return the most appropriate regional URL, ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...
1 Shanghai Key Lab of Modern Optical System, Engineering Research Center of Optical Instrument and System, Ministry of Education, University of Shanghai for Science and Technology, Shanghai, China 2 ...