Abstract: Multimodal video sentiment analysis aims to integrate multiple modal information to analyze the opinions and attitudes of speakers. Most previous work focuses on exploring the semantic ...
Abstract: Ordinal regression (OR, also called ordinal classification) is classification of ordinal data, in which the underlying target variable is categorical and considered to have a natural ordinal ...
Introduction: Early gait training plays a critical role in stroke rehabilitation, as reflected in relevant guidelines. However, patients with visuospatial neglect—a factor that negatively impacts gait ...
The current implementation of type_of_target in scikit-learn classifies any 1D array of integer-like values with more than two unique values as 'multiclass', even when the data is actually count or ...
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 ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.4c01755. Gaussian process model performance; effect of the ...
Background: Frailty is common in atrial fibrillation (AF) patients, but the specific risk factors contributing to frailty need further investigation. There is an urgent need for a risk prediction ...
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 ...
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