Results 111 to 120 of about 525,986 (287)
Factor Retention Using Machine Learning With Ordinal Data. [PDF]
Goretzko D, Bühner M.
europepmc +1 more source
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Kendall transformation brings a robust categorical representation of ordinal data. [PDF]
Kursa MB.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data
Accurate cloud cover assessment is crucial in several fields, such as weather forecasting, climate science, agriculture, or energy system planning, precipitation pattern forecasting and aiding in early detection of extreme weather events.
Markus Gotz +6 more
doaj +1 more source
Frequentist Model Averaging in Structure Equation Model With Ordinal Data. [PDF]
Jin S.
europepmc +1 more source
Abstract Despite the heightened mental health challenges amid rising Anti‐Asian sentiment, Asian Americans have significantly underutilized mental health services, a trend that persisted even before the COVID‐19 pandemic. Although considerable efforts have been made to understand how various factors are related to mental health service use in this ...
Michael Park +6 more
wiley +1 more source
Testing Non-Linear Ordinal Responses in L2 × K Tables
In comparative studies responses of two populations are often summarized in stratified 2 × K tables with ordinal categories. A test, called QEt test, is proposed for testing the homogeneity of the populations against non-linear alternatives in such ...
Leslie Jayasekara, Takashi Yanagawa
doaj
Classification Trees for Problems with Monotonicity Constraints [PDF]
For classification problems with ordinal attributes very often theclass attribute should increase with each or some of theexplaining attributes. These are called classification problemswith monotonicity constraints. Classical decision tree algorithmssuch
Feelders, A.J., Potharst, R.
core +1 more source
Associations between inclusive community coalition leadership and use of evidence‐based practices
Abstract Community coalitions have the potential to elicit diverse participants' perspectives on complex issues and generate shared commitment to adaptive strategies. Ideally, these approaches have been found effective elsewhere. Despite evidence that leadership plays a generally important role in coalitions, there have been limited prior findings ...
Rebecca Wells +4 more
wiley +1 more source

