Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
Abstract: Important concerns when using medical data for Machine Learning (ML) is patient privacy and bias. Federated Learning (FL), the training of a centralized model by using parameters from ...
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ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Canadian colleges have seen a surge in applications from the U.S. following President Donald Trump's threats to higher education institutions. The University of British Columbia (UBC) Vancouver, ...
ABSTRACT: Adaptive fractional polynomial modeling of general correlated outcomes is formulated to address nonlinearity in means, variances/dispersions, and correlations. Means and ...