ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Boys’ educational achievement, mental health and transitions to adulthood indicate that many are not thriving. By Claire Cain Miller Boys and young men are struggling. Across their lives — in their ...

In today's fast-paced business world, data is the lifeblood of organizations. However, many companies struggle with a significant challenge: a "data divide" between technology experts and business ...

Abstract: Ordinal data are common in many data mining and machine learning tasks. Compared to nominal data, the possible values (also called categories interchangeably) of an ordinal attribute are ...

This macro performs an ordinal cluster analysis on a given dataset. It processes the data to compute win fractions, conducts a mixed model regression on these win fractions, and fits a proportional ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...

1 Department of Primary Education, Democritus University of Thrace, Alexandroupolis, Greece 2 Department of Journalism and Mass Media, Aristotle University of Thessaloniki, Thessaloniki, Greece In the ...

LOS ANGELES--(BUSINESS WIRE)--Nominal, a company specializing in creating end-to-end data analysis solutions for industrial engineering teams, emerged from stealth to provide a faster, more reliable ...