A new study finds four factors that may make it more likely for some people to experience successful weight loss from using ...

23.06.2022: Medicine and numbers - When the outcome variable has only two levels or categories, standard binary logistic regression can be used.

The convention couldn’t sound less rock-and-roll — the National Association of Music Merchants Show. But when the doors open at the Anaheim Convention Center, people stream in to scour rows of ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Therefore, a black-box graph injection attack, Bayesian Ridge Regression Injection Attack (BRRIA), is proposed to study the impact of the internal relations on a system and to investigate the ...

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

The analysis produced graphs with the model and parameters of the logistic regression, the graph of the monthly contributions, a list of NRMSE values, the quotient between the number of features in ...

Multivariate logistic regression was performed to investigate the association of demographic and audiological factors with effective therapy. Results According to the THI score changes pre and post ...

A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and ...

These included linear regression, logarithmic regression, inverse regression, and S-curve (logistic) fitting. For each problematic data series, multiple models were tested and the one with the highest ...

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